# Scalifi Ai – llms-full.txt Canonical: https://www.scalifiai.com Last-Updated: 2025-10-13 For quick index, see https://www.scalifiai.com/llms.txt --- ## Complete User Guide | Scalifi Ai Docs Source: https://www.scalifiai.com/docs Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Documentation Hub Explore our comprehensive documentation hub for a streamlined and user-friendly experience. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Scalifi Ai Documentation Hub](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/iam_docs_image_4d46301902.svg) ## Overview Harness the true potential of Scalifi Ai with our user-friendly documentation hub. Navigate through our step-by-step guides, and valuable documentation for a seamless learning experience of modules like IAM, Model Building Server, Billing and Usage Center, Data Ingestion, Data Analytics etc. Dive deeper into a world of knowledge designed to enhance your understanding of our services in a more efficient way. ## Module-wise Docs [people\_alt**Identity and Access Management** \\ Safeguard and manage user identities and access privileges within Scalifi Ai, ensuring secure and efficient control over who can see and do what.](https://www.scalifiai.com/docs/iam) [construction**Model Building** \\ Leverage a no-code canvas to construct, test, and refine machine learning models with ease, streamlining the journey from concept to deployment.](https://www.scalifiai.com/docs/model-building) [payment**Billing and Usage** \\ Monitor and manage your financial interaction with Scalifi Ai, tracking service usage, viewing billing history, and customizing subscription plans for optimized spending.](https://www.scalifiai.com/docs/billing-and-usage) [inventory\_2**Model Catalog** \\ Explore our comprehensive Model Catalog, a centralized repository for versioned machine learning models. Unlock collaboration, reproducibility, and streamlined deployment in your AI workflow.](https://www.scalifiai.com/docs/model-catalog) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## User Management | IAM Guide Source: https://www.scalifiai.com/docs/iam/user-management Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # User Management User management is an important aspect of any platform. It mainly involves creating, updating and deleting user accounts, managing user permissions and access levels, in a system or platform. Effective user management is essential for upholding system integrity, security, and functionality while enabling seamless operations and collaboration within an organisation or digital platform. Allowed operations that users can perform on the platform are: 1. Create User 2. Manage Users 3. Manage User Policies 4. Edit User 5. Change User Password 6. Delete User ## Create User 01. To add a new user to the platform, go to the IAM module. ![Parent-Dashboard-IAM.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Parent_Dashboard_IAM_b9e203122e.svg) 03. Click on the **Create User** button. ![Create-User-IAM.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Create_User_IAM_1a665e7ba0.svg) 05. **User Details:** Enter the basic user details and then click next. **Options** **Description** Email Enter valid user email Allow users to enter details If the checkbox is ticked, allows the users to enter the details like First Name and Last Name. Email verification required If the checkbox is ticked then the user will receive a verification email. First Name User's First Name Last Name User's Last Name ![User-Details.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/User_Details_a946e6e40b.svg) 08. **Attach Policies:** From the list of policies you can add the desired policies. These policies will define the access level of the user. You can update the policies later if needed. Once the policies are selected click next. ![Attach-Policies.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Attach_Policies_78124c07ac.svg) 10. **Access Type\[Password\]:** Click on the Set Password tile and enter the password for the user. User can later change his password if needed. Note: All the password policy checks must be passed for the password to be accepted. If even 1 check is not passed your password won’t be accepted. ![Access-Type.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Access_Type_e31acadf9f.svg) 12. **Review:** Finally review all the entered details and create the user. ![Review-Details.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Review_Details_e05d58fed2.svg) 14. Once the user is created you will be redirected to the Users and Groups page where you can see a list of all the users. ## Manage Users 1. On the users and groups page you can see all the users that are present on the platform. ![Users-and-Groups.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Users_and_Groups_b49b5a9eac.svg) 3. By clicking on the user row you can go to the user management page. Per user page has the basic user details and options to edit the user details. **Options** **Description** User Details Email and profile status of the user. Policies List of attached policies. You can change the policies by clicking on Manage Policies. Actions 1. Reset User password: Admin will have access to reset the password of any user. 2. View Third Party Account: Admin can view the third party accounts added to the platform. 3. Update User: Admin can update basic user details like email verification required, First Name and Last Name. 4. Delete User: Admin will have the access to delete the user from the platform. Note: Once the user is deleted he won't have access to any service of the platform. This process cannot be reversed. ![Per-User.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Per_User_37cd8e9d08.svg) ## Manage User Policies 01. Policies are a vital part of the platform. They define the granular level access of the user on the platform. 02. All the users that have access to managing user policies can assign and remove any policy of the user. 03. Go to per user page. 04. Click on the **Manage Policies.** ![Manage-Policies.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Manage_Policies_585e087d5e.svg) 06. On the manage policies page you can update all the policies assigned to the user. You can remove any existing policies or add new policies as per your need. ![Manage-User-Policies.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Manage_User_Policies_f1ce32723c.svg) 08. All the changes can be verified in the **Policies Preview** section. ![Preview-User-Policies.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Preview_User_Policies_28a02fe35d.svg) 10. **Policies Preview** section has 2 tabs. Final and removed. Final tab: Shows all the assigned policies to the user. Removed tab: Shows all the removed policies of the user, if any. ![Final-Policies.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Final_Policies_65a71dbfe2.svg) ## Edit User 1. The profile page consists of basic user details and options to update user details. Profile status indicates whether the first name and last name of the user is filled or not. ![User profile.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/User_profile_95b93e60bb.svg) 3. User can update his profile details and change his password. ![Update Profile.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Update_Profile_f251b78670.svg) 5. Along with the user details, users can also check the linked third party accounts and active sessions. ![Active Sessions.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Active_Sessions_52f744cb80.svg) 7. Active sessions will show all the logged in user sessions. Users can revoke any sessions if they don’t need any session to be active. ![Revoke Session.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Revoke_Session_00c7bfeab0.svg) ## Change User Password 01. There are 2 ways of changing a user password, changing it from per user page and changing it from profile. Both ways have a different flow. Let's look into both ways. 02. Lets start from **Password Change from User Page**: This process is how a user can change password of another user (if they ahev access to perform this action). From the per user page click on the **Actions** dropdown and **Reset User Password**. ![Reset User Password - Per User Page.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Reset_User_Password_Per_User_Page_41d75197df.svg) 04. This process is intended for admins or anyone who has been given access to change user passwords. So it will need the user (who is performing change password action) to enter their password to proceed. ![Admin Password.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Admin_Password_42576873f4.svg) 06. Once the password is verified you can enter a new password for the respective user that follows the password policy. ![New Password - Admin.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/New_Password_Admin_734246d913.svg) 08. Steps for **Password Change from Profile Section:** This process is how a user can change their own password (if they ahev access to perform this action). From the profile dropdown select change password. ![Change Password - User Profile.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Change_Password_User_Profile_07513ee573.svg) 10. If you are an admin then you will be asked to send a verification token to your registered email address. Then you will be redirected to the password reset page. If you are not an admin, you will not require the verification token. ![Verification Token.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Verification_Token_bd933f9b5d.svg) 12. Enter the old password and a new password that follows the password policy. ![New Password - User.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/New_Password_User_f8bf64b0a4.svg) ## Delete User 1. Users can be deleted from **Users and Groups Page** as well as from **User Details Page**. 2. From the **Users and Groups Page**: Here you can select the user that you want to delete. (You can delete only 1 user at a time) ![Delete 1.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Delete_1_d3e149c0a6.svg) 4. From the **User Details Page**: Another way is you click on the user you want to delete and that opens the User Details Page. From there, you can click on the **Actions** and then **Delete User**. ![Delete 2.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Delete_2_3cf2e69495.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [NextPolicy Managementeast](https://www.scalifiai.com/docs/iam/policy-management) ##### Content [Overview](https://www.scalifiai.com/docs/iam/user-management#overview) [Create User](https://www.scalifiai.com/docs/iam/user-management#content-sub-section-1) [Manage Users](https://www.scalifiai.com/docs/iam/user-management#content-sub-section-2) [Manage User Policies](https://www.scalifiai.com/docs/iam/user-management#content-sub-section-3) [Edit User](https://www.scalifiai.com/docs/iam/user-management#content-sub-section-8) [Change User Password](https://www.scalifiai.com/docs/iam/user-management#content-sub-section-9) [Delete User](https://www.scalifiai.com/docs/iam/user-management#content-sub-section-10) * * * hide\_imageHide Images --- --- ## High-Performance Management: Scalable and Secure Infrastructure Source: https://www.scalifiai.com/model-catalog/features/scalable-and-secure-infrastructure Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Scalable and Secure Infrastructure forHigh-Performance Management Manage vast amounts of data and ensure its security. A scalable and secure infrastructure for high-performance management provides the backbone for handling large volumes of data and demanding workloads while ensuring robust security measures. Advanced security protocols, access controls, and monitoring systems, safeguard sensitive data and mitigate cyber security risks. This infrastructure empowers organizations to manage complex operations seamlessly, supporting growth, and compliance with regulatory requirements. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Scalable And Secure Infrastructure Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/scalable_and_secure_infrastructure_scalifi_ai_model_catalog_6f123db1af.svg) ![scalable-data-architecture-model-catalog.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/scalable_data_architecture_model_catalog_fce7d5eb44.svg) ##### Scalable Data Architecture A scalable infrastructure starts with a robust data architecture designed to handle large volumes of data efficiently. ![reduced-risk-of-errors-model-catalog.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/reduced_risk_of_errors_model_catalog_09010093ee.svg) ##### Reduced Risk of Errors A secure infrastructure minimizes the risk of unauthorized access or manipulation of models. This ensures data integrity and the reliability of your model catalog, leading to more trustworthy results. ![cost_optimization.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/cost_optimization_413b55ff03.svg) ##### Cost-Effectiveness Our scalable infrastructure adapts to your growing needs, avoiding the need for frequent upgrades or over-provisioning resources. This will save significant cost in the long run. ![Efficient Model Storage And Retrieval Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/efficient_model_storage_and_retrieval_model_catalog_service_bfc82caea5.svg) ### Efficient Model Storage and Retrieval High-performance management allows fast access and retrieval of a number of models created by the organization. This facilitates faster iteration and reduces wait times for data scientists to streamline workflows. By implementing advanced indexing and compression techniques, it maximizes resource utilization while minimizing latency. This feature promotes efficient utilization of computational resources. ![Focus And Business Continuity Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/focus_and_business_continuity_model_catalog_8aec08a1b1.svg) ### Focus and Business Continuity Ensure business continuity and mitigate the risk of data loss with Scalifi Ai’s reliable and secure infrastructure mitigating the security risks. This facilitates the organization to focus on building innovative AI solutions by adapting to market changes and mitigates potential disruptions without infrastructure concerns and its failover. This feature promotes resilience by enabling efficient resource allocation and strategic planning, fostering a robust foundation for long-term success amidst evolving business landscapes. ![Federated Learning Support Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/federated_learning_support_model_catalog_3cef11cb14.svg) ### Federated Learning Support Facilitate secure collaboration on models across different organizations or departments while protecting sensitive data privacy, reduced communication costs, and the ability to leverage distributed datasets. Data scientists can effortlessly orchestrate model building and training across disparate devices and platforms while preserving data privacy and security. By facilitating the integration of federated learning techniques, the Model Catalog fosters efficient model iteration and refinement, driving advancements in decentralized AI research and deployment. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Scalifi Ai Model Catalog | AI ML Model No-Code Low-Code Source: https://www.scalifiai.com/model-catalog Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Organize Your Machine Learning Modelswith the Model Catalog Discover, explore, streamline and manage your organization's machine learning models in one centralized hub. This organized inventory will help in keeping track of various aspects of the models through metadata, improve knowledge sharing between teams and make better decisions to enhance productivity. A model catalog is a valuable tool for organizations that heavily rely on machine learning models, promoting efficiency, collaboration, and responsible AI practices. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/model_catalog_service_banner_scalifi_ai_f4677115c3.svg) ![Improved Knowledge Sharing Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/improved_knowledge_sharing_model_catalog_030d829653.svg) ### Improved knowledge sharing Model Catalog makes it easier for data scientists, engineers and different team members within the organization to discover and understand existing models, preventing the duplication of effort. Using Scalifi Ai, track the changes to models over time, facilitating teamwork and ensuring everyone's using the most up-to-date version. This allows the members to pinpoint relevant models based on specific criteria like task, performance metrics, or data requirements. ![Streamlined workflow model catalog Illustration - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/streamlined_workflow_model_catalog_scalifi_ai_4f0488f279.svg) ### Streamlined workflow Model Catalog simplifies the deployment and management of models by keeping everything organized in one place. Scalifi Ai allows automating tasks like model registration. This will significantly reduce the time and effort required to manage models. And allow data scientists to focus on building and iterating, while also ensuring all models are properly tracked and easy to find. ![Better Decision Making Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/better_decision_making_model_catalog_5fb0514099.svg) ### Better decision-making Provides insights into model performance and usage, allowing for data-driven decisions about model development and deployment. Users can efficiently compare and select the most suitable model for their task, considering factors like past performance and intended use. This transparency fosters trust in model outputs, ultimately leading to better-informed choices across the organization. ![Policy-Based Access Control Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/policy_based_access_control_model_catalog_6c1d85b231.svg) ### Policy-Based Access Control Empower your organization’s models with tailored access management. Seamlessly manage who can access the models and their metadata based on user policies with granular control and minimize the risks. This will grant granular control over who can access and use specific models by defining policies that consider factors like user role, model type, and access time. This ensures sensitive models are protected, while allowing authorized users the access they need for efficient data science workflows. ![Explainability And Interpretability Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/explainability_and_interpretability_model_catalog_84456e0381.svg) ### Explainability and Interpretability For transparency and trust, the model catalog should incorporate details on a model's explainability and interpretability. Using Scalifi Ai’s Model Catalog users can capture how the model arrives at its predictions. By understanding the rationale behind a model's decisions, users can better assess its credibility and identify potential biases. This information is crucial for responsible AI development and deployment. ### What Scalifi Ai provide with the Model Catalog local\_library #### Centralized repository Model Catalog acts as a central repository for all of an organization's machine learning models. This makes it easy for teams to find, share, and reuse models. account\_tree #### Version control Model Catalogs allow you to track different versions of each model. This is important for ensuring that teams are using the latest and most accurate version of a model. terminal #### CLI support Manage model creation, add model versions and its variants using our proprietary library or CLI tool. manage\_search #### Search and discovery Model Catalog provides search and discovery features that make it easy for teams to find the models they need. This can be done by searching with related tags, keywords, by filtering by criteria such as model type or by browsing through a curated list of models. folder\_open #### Easy to use file browser Upload your metadata using built-in file browser support with the upload progress notification. Never miss out on the upload status as it has features like upload error detection. preview #### Preview and download metadata Did you forget what was the content in the uploaded metadata? Nevermind, preview the metadata with just one click and download it for future reference. ## Model Catalog ServiceFeatures layers ##### **Unified Model Registry Across Frameworks** Model building service provides a rich set of customizable layers, allowing you to tailor the architecture of your AI models to fit specific requirements and complexities. [Learn Moreeast](https://www.scalifiai.com/model-catalog/features/unified-model-registry) precision\_manufacturing ##### **Advanced Model Design and Export Capabilities** Tailor and enhance AI models for specific needs. Prototype, test, and refine quickly in a no-code setup, speeding up development and fostering innovation. [Learn Moreeast](https://www.scalifiai.com/model-catalog/features/advanced-model-design-and-export) tips\_and\_updates ##### **Model Version and lineage tracking** Boost your organization with Scalifi Ai's model lineage tracking. Ensure compliance and reliability in AI apps with clear documentation and robust version control. [Learn Moreeast](https://www.scalifiai.com/model-catalog/features/model-version-and-lineage-tracking) auto\_fix\_high ##### **Programmatic Access with Python Library** Leverage Scalifi Ai's Python Library for seamless automation and model manipulation. Integrate scripts with external systems, enhancing workflow efficiency. [Learn Moreeast](https://www.scalifiai.com/model-catalog/features/programmatic-access-with-python-library) add\_business ##### **Scalable and Secure Infrastructure for High-Performance Management** Ensure data security and scalability with a robust infrastructure. Advanced protocols and monitoring systems protect sensitive data, supporting growth and compliance. [Learn Moreeast](https://www.scalifiai.com/model-catalog/features/scalable-and-secure-infrastructure) work\_history ##### **Model Governance and Access Control for Secure Deployment** Ensure ML model reliability, accountability, and security throughout their lifecycle. Govern development, deployment, and monitoring with systematic processes. [Learn Moreeast](https://www.scalifiai.com/model-catalog/features/model-governance-and-access-control) #### Frequently Asked Questions ![frequently asked questions](https://www.scalifiai.com/_next/static/media/faqCircle.3d68e398.svg) ###### What is Scalifi Ai’s Model Catalog A Model Catalog is a centralized repository or database that organizes and manages various machine learning models, their metadata, and associated documentation. It serves as a comprehensive inventory where data scientists and other stakeholders can discover, access, and deploy pre-existing models for various tasks and applications. Additionally, a Model Catalog may include features such as version control, model comparison, and collaboration tools to facilitate efficient model development and deployment workflows within organizations. ###### How can Scalifi Ai’s Model Catalog be important for data science and machine learning projects? Model Catalog helps in organizing, documenting, and tracking the lifecycle of machine learning models, promoting collaboration, reproducibility, and efficiency within data science teams. It also facilitates model discovery and reuse, thereby reducing duplication of effort and promoting best practices. ###### Can I use Model Catalog for my organization? Yes, you can get started by creating a model by following the steps in [this](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-61) guide. Using a well-implemented Model Catalog serves as a foundational component of the ML lifecycle, facilitating efficient model development, deployment, and maintenance while promoting collaboration and innovation within data science teams. ###### What types of frameworks are supported for creating models? Scalifi Ai stands out for its compatibility with leading AI frameworks like TensorFlow, PyTorch and Scikit Learn. Using this frameworks, one can create a model by including machine learning methods such as regression, classification, clustering algorithms, deep learning models, and ensemble methods. ###### What information is included in each model within the catalog? Key information in a model typically includes model name, description, metadata, trainable/non-trainable value, tags, versions, framework, input/output specifications, etc. ###### Can I ensure consistency and accuracy using Model Catalog? Yes, with Scalifi Ai’s scalable and secure infrastructure for high-performance management, consistency and accuracy can be ensured. Validation workflows and collaborative feedback further reinforce accuracy, fostering a reliable and efficient model development ecosystem. \[ [Read Mode](https://www.scalifiai.com/model-catalog/features/scalable-and-secure-infrastructure)\] ###### How can the Model Catalog facilitate collaboration among data scientists and stakeholders? With Scalifi Ai’s shared platform, data scientists and stakeholders can work as a team or individually to discover, evaluate, and utilize existing models, fostering collaboration, knowledge sharing, and reuse of best practices across teams and departments. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Model Management | Model Catalog Guide Source: https://www.scalifiai.com/docs/model-catalog/model-management Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Model Management A model catalog is essentially a central library for all the machine learning models used within an organization. It acts like an organized inventory, keeping track of various aspects of these models through metadata. This metadata can include details like versions, variations and its signature configuration, tags, description etc. To view/create a model, go to [Model Catalog](https://platform.scalifiai.com/model-catalog) from the dashboard. Allowed operations that users can perform on the platform are: 1. Create Model 2. Add Model Tags 3. Remove Model Tags 4. Model Metadata 5. Update Model 6. Delete Model ## Create Model 1. To create a model, click on the Create Model button. ![create-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/create_model_catalog_scalifi_ai_2d83437c49.svg) 3. Enter the Model name, description, language, task you are creating this model for and click on Create Model. ![create-model-catalog-details-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/create_model_catalog_details_scalifi_ai_74706e3cad.svg) 5. After successfully creating the model, you will be redirected to the per model page where all the model details are displayed. ![per-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/per_model_catalog_scalifi_ai_f06f08826e.svg) ## Add Model Tags 1. Adding tags to models help in searching, filtering or categorizing different models based on various criterias. These tags are added in a key value pair. 2. To add tags to a model, go to the [Model Catalog List](https://platform.scalifiai.com/model-catalog) and click on the model which you have created. ![model-catalog-list-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/model_catalog_list_scalifi_ai_44f97835b1.svg) 4. Next, you will see the per model page where all the details like model name, description, tags and metadata information, etc is displayed. 5. Click on Manage Tags, and add the key:value data of tags. 6. To add multiple tags, use the Add tag button. If any tag is not needed you can delete it by clicking on the delete button on the right side of the tag. ![add-model-tags-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/add_model_tags_scalifi_ai_620ad3878f.svg) 8. Finally, click on Submit to add the tags in a model. ## Remove Model Tags 1. Once the tags are removed from the model, you will no longer be able to categorize, search or filter that model in relation to the tag key or values. Before deleting the tags make sure you no longer need those tags. 2. To remove model tags, simply click on the cross icon (X) of a tag. ![remove-model-tag-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/remove_model_tag_scalifi_ai_eac338d1cf.svg) 4. To remove all model tags at once, click on the Remove all tags button. 5. Confirm the removal process and click on Confirm ![remove-all-model-tags-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/remove_all_model_tags_scalifi_ai_1099ef2629.svg) ## Model Metadata Refer the [metadata guide](https://www.scalifiai.com/docs/model-catalog/metadata) for managing the model metadata. ## Update Model 1. On the per model catalog page, click on **Edit Model**. ![per-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/per_model_catalog_scalifi_ai_f06f08826e.svg) 3. Update the necessary details and then click on **Update Model**. ![update-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/update_model_catalog_scalifi_ai_f947987b2e.svg) ## Delete Model 1. There are 2 ways of deleting a model. 1st way is from the Model Catalog List table. Select the model from the list and click on **Delete** option under **Actions** dropdown. ![delete-model-list-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/delete_model_list_model_catalog_scalifi_ai_43c8020264.svg) 3. Confirm the removal process and click on Confirm ![confirm-delete-model-list-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/confirm_delete_model_list_model_catalog_scalifi_ai_888d5c65d1.svg) 5. 2nd way is from per model page. Select the **Delete Model** option under the **Actions** dropdown. ![delete-model-per-model-page-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/delete_model_per_model_page_scalifi_ai_faf92b2813.svg) 7. Confirm the removal process and click on Confirm ![confirm-delete-model-per-model-page-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/confirm_delete_model_per_model_page_scalifi_ai_bca616266b.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestModel Jobs](https://www.scalifiai.com/docs/model-building/model-job) [NextMetadataeast](https://www.scalifiai.com/docs/model-catalog/metadata) ##### Content [Overview](https://www.scalifiai.com/docs/model-catalog/model-management#overview) [Create Model](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-61) [Add Model Tags](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-62) [Remove Model Tags](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-63) [Model Metadata](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-93) [Update Model](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-94) [Delete Model](https://www.scalifiai.com/docs/model-catalog/model-management#content-sub-section-84) * * * hide\_imageHide Images --- --- ## AI ML Models | AI Sales & revenue Prediction - Scalifi Ai Source: https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Revenue Prediction Unlock Precise Revenue Forecasting with Advanced AI Models Leveraging your Historical & Real-Time Data [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Revenue Prediction](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/revenue_prediction_1_ee30c005fc.svg) ## Problem Statement ##### Development of an AI-Based Revenue Prediction System for a Company ![Development of an AI-Based Revenue Prediction System for a Company](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/revenue_prediction_2_e327831622.svg) A business needed an AI-based revenue prediction system that can accurately forecast revenue for each product and segment, considering various data sources like sales data, market trends, and customer behavior. The system should account for seasonality, adapt to changing market conditions, and provide real-time insights to make data-driven decisions regarding inventory, marketing, and staffing. The goal is to develop a cost-effective, scalable, and user-friendly system that improves accuracy with reliability and will help business leaders to make informed business decisions for driving overall growth. ## Solution ##### Scalifi Ai's AI-Powered Accurate Revenue Prediction System ![Scalifi Ai's AI-Powered Accurate Revenue Prediction System](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/revenue_prediction_3_20b96d585e.svg) Scalifi Ai's AI-powered technology can help businesses of all kinds develop an AI-based revenue prediction system that accurately forecasts the revenue generated for each product and segment. Our solution involves a step-by-step process that begins with data collection and pre-processing. The AI-powered systems collect data on previous sales, market trends, customer behavior, etc., and then pre-process it to prepare it for analysis. Using advanced AI techniques like machine learning, deep learning, and natural language processing, we then develop an AI model that can analyze large volumes of data and provide accurate revenue predictions for each product and segment. Our AI model takes into account factors like seasonality, changes in market conditions, and other relevant variables to provide real-time insights that can inform inventory, marketing, and staffing decisions. Our system is designed to be user-friendly, with a simple, intuitive, and easy-to-navigate interface. It is also scalable, so it can handle large volumes of data as your company grows. Additionally, we work with you to develop a cost-effective solution that perfectly fits your organization’s requirements & budget. Say goodbye to revenue prediction headaches with traditional means and say hello to modern data-driven insights. ## Benefits ###### groupEnable Business Leaders to Make Better Decisions Our solution predicts accurate Revenue & provides unique business insights for each product & segment which helps product heads, marketing heads, directors, HR Managers, etc., to make better decisions on implementing marketing strategies, improving existing products, introducing new products, hiring manpower, etc. Our user-friendly interface can be used by anyone in the organization, leading to higher adoption rates and ease of use. ###### query\_statsGet Accurate Predictions with Real-Time Insights Accurate and reliable predictions through analysis of large volumes of data from various sources by advanced AI models which require zero human intervention. Our solution provides real-time insights into seasonality and changing market conditions, enabling data-driven decision-making for inventory, marketing, and staffing. ###### dashboard\_customizeSave Cost With Our Scalable System AI-powered systems require very little maintenance and almost zero human intervention, hence, there is no unnecessary cost associated, unlike the case of traditional systems. Our solution is fully scalable that can effortlessly handle large volumes of data as your company grows. ###### Related Blogs Natural Language Processing: How Neural Word Embeddings Enable Machines to Understand Text [Read moreeast](https://scalifiai-founder.medium.com/how-do-machines-understand-text-via-natural-language-processing-nlp-41aeb853ef52?source=friends_link&sk=b38399d604862bab7c3b2d12ee601dee) In-Depth Study of Large Language Models (LLM) [Read moreeast](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ###### Explore other usecases Customer Churn Prediction [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) AI in Cyber Security to Redefine the Security Posture [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) Credit Card Fraud Detection [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Model Version | Model Catalog Guide Source: https://www.scalifiai.com/docs/model-catalog/model-version Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Model Version Model versions refer to distinct iterations of a machine learning model, each capturing specific configurations and training states. This versioning system facilitates model tracking, comparison, and reproducibility, allowing data scientists to experiment, optimize, and collaborate effectively in the dynamic field of AI development. Allowed operations that users can perform on the platform are: 1. Add Model Versions 2. Add Model variations 3. Add Model variations Tags 4. Delete Model variations Tags 5. Model variation Metadata 6. Delete Model variation 7. Remove Model Version But before moving on to the operations of model version lets see what is the difference between model version and model variation. ## Model Versions vs. Model Variations ### Model Version 1. A **model version** represents a specific iteration or generation of a model. It is typically a snapshot of the model at a particular point in its lifecycle, often marked by significant changes or improvements made to the model's architecture, training data, or hyperparameters. Each model version encapsulates the complete setup needed to replicate the model's performance. 2. **Example**: Consider a facial recognition model. The initial release, trained on a limited dataset, is designated as Version 1.0. Over time, as the training dataset is expanded with more diverse images, the model is retrained to improve accuracy and robustness, resulting in Version 2.0. 3. **Use Case**: Model versions are used to track the evolution of a model over time. This allows developers and data scientists to deploy specific versions based on performance, compliance with regulations, or compatibility with specific applications. ### Model Variation 1. A **model variation** refers to different configurations or customizations of a given model version within a specific framework. Variations might include changes in configuration settings, use of different layers or activation functions, or adjustments specific to deployment environments. Each variation within a version/framework combination is identified by a unique variation name. 2. **Example**: Continuing with the facial recognition model in Version 2.0, you might have different variations to address different operational needs: - **Variation A**: Configured for real-time processing on mobile devices, with a focus on speed over accuracy. - **Variation B**: Optimized for high accuracy in controlled environments, suitable for security systems. 4. **Use Case**: Model variations allow for fine-tuning and optimizing a model version to meet specific requirements or constraints of different deployment scenarios. They enable organizations to leverage the same underlying model architecture and training, while adapting to diverse needs and conditions. ## Supported Frameworks 1. A model version can have multiple frameworks, and each framework might consist of multiple variations with different configurations or customizations. 2. The platform currently facilitates a few frameworks, with additional ones currently in development and slated for imminent release. The frameworks list is: - Pytorch - Keras - Tensorflow - Scikit Learn \[Coming Soon\] - Transformers \[Coming Soon\] - Fastai \[Coming Soon\] - LightGBM \[Coming Soon\] - XGBoost \[Coming Soon\] - Prophet \[Coming Soon\] ## Add model versions **Add versions using client library:** Please note, the creation of model versions is supported solely via our proprietary library or client library tool. ## Add model variations **Add variations using client library:** Please note, the creation of model variations is supported solely via our proprietary library or client library tool. ## Add model variation tags 1. Under the Model Version section, expand the **Model Variation Configuration** section. 2. Click on **Manage tags** ![add-tags-model-versions-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/add_tags_model_versions_scalifi_ai_9f4c72a573.svg) 4. To add multiple tags, use the Add tag button. If any tag is not needed you can delete it by clicking on the delete button on the right side of the tag. ![manage-model-variant-tags-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/manage_model_variant_tags_scalifi_ai_a7bd66300b.svg) 6. Finally, click on Submit to add the tags in a model. ## Remove model variation tags 1. Once the tags are removed from the model variation, you will no longer be able to categorize, search or filter that variation in relation to the tag key or values. Before deleting the tags make sure you no longer need those tags. 2. To remove model tags, simply click on the cross icon (X) of a tag. ![remove-model-variant-tag-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/remove_model_variant_tag_scalifi_ai_c2790e2223.svg) 4. To remove all model tags at once, click on the Remove all tags button. 5. Confirm the removal process and click on Confirm ![remove-all-tags-model-variant-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/remove_all_tags_model_variant_scalifi_ai_c9170611c9.svg) ## Model variation metadata Refer the [metadata guide](https://www.scalifiai.com/docs/model-catalog/metadata) for managing the model variation metadata. ## Delete Model Variation 1. Select the variant to delete from the dropdown. Then click on the **Delete variant** button. ![delete-model-variant-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/delete_model_variant_scalifi_ai_e334824033.svg) 3. Confirm the deletion process and click on **Confirm**. ![confirm-delete-model-variation-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/confirm_delete_model_variation_scalifi_ai_c9a1c9e91c.svg) ## Delete Model Version 1. Select the version to delete from the dropdown. Then click on the **Delete version** button. ![delete-model-version-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/delete_model_version_scalifi_ai_009928c9b7.svg) 3. Confirm the deletion process and click on Confirm ![confirm-delete-model-version-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/confirm_delete_model_version_scalifi_ai_69a9f96c01.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestMetadata](https://www.scalifiai.com/docs/model-catalog/metadata) [NextUsageeast](https://www.scalifiai.com/docs/billing-and-usage/usage) ##### Content [Overview](https://www.scalifiai.com/docs/model-catalog/model-version#overview) [Model Versions vs. Model Variations](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-95) [\- Model Version](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-96) [\- Model Variation](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-97) [Supported Frameworks](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-100) [Add model versions](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-80) [Add model variations](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-79) [Add model variation tags](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-81) [Remove model variation tags](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-99) [Model variation metadata](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-82) [Delete Model Variation](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-87) [Delete Model Version](https://www.scalifiai.com/docs/model-catalog/model-version#content-sub-section-88) * * * hide\_imageHide Images --- --- ## Efficient AI Modeling Jobs | Scalifi Ai Source: https://www.scalifiai.com/ai-ml-model-building/features/efficient-ai-modeling-jobs Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Master AI Model Developmentwith MBS Model Jobs Elevate AI development with MBS's Model Jobs. Efficiently build, test, and analyse large models with Build Job, and seamlessly export them in various formats using the Export Job for versatile deployment. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Model Building Jobs - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/MBS_Efficient_Ai_Modeling_Job_7ca0a2d722.svg) ![streamline-model-building.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/streamline_model_building_282b2cecfa.svg) ##### Streamlined Model Building MBS's Build Job optimises large AI model construction and testing, enhancing team productivity and efficiency. ![export-integration.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/export_integration_25ce293cf8.svg) ##### Seamless Export and Integration Export Job in MBS enables flexible model exporting and easy integration across diverse platforms and environments. ![automate-time-execution.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/automate_time_execution_7758913aca.svg) ##### Automated and Timely Execution Schedule and automate MBS Model Jobs; receive timely updates via email, ensuring efficient project management. ![Enhanced Development Efficiency Model Building Job - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/optimize_Ai_Model_82a073ee98.svg) ### Enhanced Development Efficiency MBS’s Build Job feature significantly streamlines the AI model development process. By enabling efficient construction and testing of complex models, it reduces redundant activities, allowing your workforce to focus on innovation and strategic tasks. This leads to enhanced productivity and a more focused approach to AI development. ![Rapid and Flexible Model Export - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/rapid_Model_Export_63e6f6ecda.svg) ### Rapid and Flexible Model Export The Export Job in MBS redefines model deployment flexibility. It facilitates the quick export of AI models in various formats, easily integrating with different systems and platforms. This agility allows for faster response to customer queries and adaptability in diverse technological environments. ![Efficiently Meet Project Deadlines Model Build Job - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/project_Deadlines_d32bc7225b.svg) ### Efficiently Meet Project Deadlines MBS's scheduling feature for Model Jobs ensures timely execution and adherence to service level agreements (SLAs). Automated scheduling and email updates keep projects on track, guaranteeing efficient management and delivery of AI model development projects within set timelines. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Policy Management | IAM Guide Source: https://www.scalifiai.com/docs/iam/policy-management Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Policy Management Policies are a vital part of the platform. They define the granular level access of the user on the platform. You can restrict the user access and maintain platform integrity with these policies. Allowed operations that users can perform on the platform are: 1. Create Policy 2. Update Policy 3. Delete Policy ## Create Policy 01. Proceed to the policy management page by either click on the policies card on the IAM Dashboard or IAM header. 02. There are a few preconfigured base policies that are needed for the platform to function. These policies can also be used by users but are non-editable and are managed by the platform itself. 03. On the Policies page click on **Create Policy** Button. 04. From the list of modules, select the modules for which you need to create a policy. Multiple modules are allowed in a single policy. ![Select Module.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Select_Module_0e3c4d86c6.svg) 06. Select the actions and resources for the policy. ![Policy Actions and Resources.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Policy_Actions_and_Resources_842e939656.svg) 08. Once done, update the name and description of the policy. Description is optional. And finally create the policy. ![Policy Name.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Policy_Name_df91a125dc.svg) 10. Congratulations, you have successfully created a policy. ## Update Policy 1. To update a policy select the policy and from **Actions** dropdown click **Edit**. ![Edit Policy.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Edit_Policy_0a9b8a6d6e.svg) 3. Make the necessary changes to the policy and click on **Update**. 4. You can get a summarised view of policy by clicking on the policy name. Here, you can check the policy details in the modal. ![preview-policy.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/preview_policy_7d3a37ac3d.svg) ## Delete Policy 1. To delete a policy, go to the policies page. Select the policy to delete and from the actions dropdown click on the delete button. ![Delete Policy.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Delete_Policy_7632dea08e.svg) 3. If all the checks pass, then you can proceed with deleting the policy. (In case the policy is attached to any user then you will need to detach the policies from all the users before deleting the policy.) ![delete-policy-pre-check.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/delete_policy_pre_check_987e69098a.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestUser Management](https://www.scalifiai.com/docs/iam/user-management) [NextThird Party Accountseast](https://www.scalifiai.com/docs/iam/third-party-accounts) ##### Content [Overview](https://www.scalifiai.com/docs/iam/policy-management#overview) [Create Policy](https://www.scalifiai.com/docs/iam/policy-management#content-sub-section-11) [Update Policy](https://www.scalifiai.com/docs/iam/policy-management#content-sub-section-12) [Delete Policy](https://www.scalifiai.com/docs/iam/policy-management#content-sub-section-13) * * * hide\_imageHide Images --- --- ## Model Version and lineage tracking | Scalifi Ai Source: https://www.scalifiai.com/model-catalog/features/model-version-and-lineage-tracking Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Model Version andLineage Tracking Empower your organization with Scalifi Ai’s comprehensive model lineage tracking for rigorous experimentation and optimization cycles. Our solution enables clear documentation of model iterations, supporting enhanced model governance, auditability, and reproducibility. With robust version control, ensure regulatory compliance and reliability in your AI applications. Stay confident in your model's evolution with transparent lineage tracking from development to deployment. Enhance your machine learning workflows with precision and accountability at every step. Experience seamless collaboration and confident decision-making with our advanced lineage management tools. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Model Version And Lineage Tracking Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/model_version_and_lineage_tracking_5cdfa84052.svg) ![reusability-scalifi-ai-model-catalog-service.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/reusability_scalifi_ai_model_catalog_service_0f42352644.svg) ##### Reproducibility When recreating a model, you can rest assured that the same data, code, and environment as before are being utilized. ![debugging-scalifi-ai-model-catalog-service.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/debugging_scalifi_ai_model_catalog_service_b6717bd86f.svg) ##### Debugging Track down the root cause by looking at the lineage of the model when the performance of the model is poor. ![governance-and-auditing-model-catalog-service.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/governance_and_auditing_model_catalog_service_c4a1535030.svg) ##### Governance and auditing Track how models are changing over time and ensure that they are being developed and used in a responsible manner. ![Enhanced Productivity and Decision Making - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/enhance_Product_Decision_b5a0f62d88.svg) ### Informed Decision Making Systematically utilize comprehensive, reliable, and relevant information derived from various models to make sound and well-founded decisions. By understanding how different models were built and what data they were trained on, you can make more informed decisions about which model to use for a particular task. This enables analyzing information effectively, identifying patterns, and generating actionable insights, ultimately enhancing the accuracy and effectiveness of decision-making across various domains. ![Faster Experimentation And Interaction Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/faster_experimentation_and_interation_model_catalog_service_3c6c1b9561.svg) ### Faster Experimentation and Iteration In the dynamic landscape of data science and machine learning, the ability to rapidly experiment and iterate upon models is paramount for innovation and progress. With Scalifi Ai , you can easily track changes and revert to previous versions and experiment with different model configurations more quickly. This will guarantee the acceleration of the development process and help you find the optimal model. ![Enhanced Collaboration Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/enhanced_collaboration_model_catalog_scalifi_ai_3f0f09b70f.svg) ### Enhanced Collaboration Collaboration is fundamental to accelerating innovation in machine learning. By providing shared access to model variants and facilitating real-time collaboration features, such as commenting, version tracking, and collaborative editing, teams can effectively collaborate on model development projects. Model Lineage tracking allows team members to understand the history and rationale behind different models. This fosters better communication and collaboration within the data science team. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Model Metadata | Model Catalog Guide Source: https://www.scalifiai.com/docs/model-catalog/metadata Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Metadata Metadata encapsulates crucial information about a machine learning model, including hyperparameters, training data details, and evaluation metrics. This concise summary enhances model understanding, reproducibility, and collaborative efficiency. Allowed operations that users can perform on the platform are: 1. Add Metadata 2. Preview Metadata 3. Update Metadata 4. Delete Metadata But before moving on to the operations of metadata lets see what are the different types of metadata. **Note:** Metadata of models and model versions can be accessed from their respective metadata browser. ## Types of metadata In Scalifi Ai's Model Catalog Service (MCS), metadata enriches model management by attaching additional, relevant information to models or model variations. MCS supports two primary types of metadata: **Simple Type** and **Storage Type**. Each type caters to specific needs and accommodates different use cases. ### Simple Type Metadata 1. **Simple Type Metadata** is designed to store basic information in key-value pairs where the value is a primitive data type. This metadata type is optimal for labelling models with straightforward data that aids in categorization, search, and brief descriptions. 2. Characteristics: - Data Types Supported: Strings, integers and floats. - Use Cases: - Adding key performance metrics like accuracy, precision, recall, F1 score etc. - Adding version/variation descriptions. 4. Example: - A model could have simple metadata with the key version and a string value 1.0, or accuracy with a float value 0.95. ### Storage Type Metadata 1. **Storage Type Metadata** allows for the attachment of files and complex data structures, providing a robust means to include supplementary materials essential to the model. This metadata type supports various file formats, enhancing the model's utility with rich, accessible content. 2. Characteristics: - Data Types Supported: All file types including images, PDFs, Markdown, HTML, audio, and video files. - Preview Functionality: Scalifi Ai's MCS offers preview capabilities for most common file types, allowing users to view content such as HTML graphs directly on the platform or through the command line interface (CLI). This feature is particularly useful for visualizing model outputs, reviewing documentation, or examining model configurations without downloading files. - Use Cases: - Attaching training data, model weights, or configuration files that are crucial for the model’s operation. - Storing and previewing graphical outputs as HTML, instructional videos, audio commentary, or annotated images that describe or demonstrate the model's use. 4. Example: - A machine learning model used for image processing might include metadata with an .html file showing visualizations of the model’s performance on test data. Alternatively, a speech recognition model could have an .mp3 file attached as metadata, demonstrating its output capabilities. ## Add Metadata 1. To add metadata, click on Upload metadata under Metadata. ![upload-model-metadata-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/upload_model_metadata_scalifi_ai_ca63a89ce3.svg) 3. Scalifi Ai supports String, Integer, Floating point and file data type. 4. To add String, Integer or Floating point type metadata: - Select the required data type from the dropdown menu. - Add metadata name and value. - Click on **Add metadata** button. ![add-model-metadata-string-type.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/add_model_metadata_string_type_1a5adc1ba0.svg) 7. Tp add file type metadata: - Select file type from the dropdown menu. - Browse / drag-and-drop the required files. - Click on **Upload file** button. ![upload-file-model-metadata-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/upload_file_model_metadata_scalifi_ai_2b333f4751.svg) ## Preview metadata 1. To instantly preview the metadata, enable Instant file preview on click from the toolbar and click on the metadata to preview its properties. ![instant-metadata-preview-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/instant_metadata_preview_scalifi_ai_19ca1df268.svg) 3. Else, right click on the metadata. 4. Click on **Preview** action. ![metadata-preview-action-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/metadata_preview_action_scalifi_ai_7fff276aab.svg) 6. To view/hide the content, click on **View/Hide content** button. 7. To download the metadata, click on **Download file** in properties section or right click on metadata and then click on **Download Metadata** option. ![metadata-preview-properties-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/metadata_preview_properties_scalifi_ai_e938973542.svg) ## Update metadata 1. Right click on the metadata. 2. Click on **Update metadata** action. ![update-model-metadata-action-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/update_model_metadata_action_scalifi_ai_6ae6892132.svg) 4. Change data type as per the need and enter the updated value. ![update-model-metdata-modal-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/update_model_metdata_modal_scalifi_ai_46bb481841.svg) 6. Click on **Update**. ## Delete metadata 1. Right click on the metadata. 2. Click on **Delete metadata** action. ![delete-metadata-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/delete_metadata_scalifi_ai_71196ac0b0.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestModel Management](https://www.scalifiai.com/docs/model-catalog/model-management) [NextModel Versioneast](https://www.scalifiai.com/docs/model-catalog/model-version) ##### Content [Overview](https://www.scalifiai.com/docs/model-catalog/metadata#overview) [Types of metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-89) [\- Simple Type Metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-90) [\- Storage Type Metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-92) [Add Metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-77) [Preview metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-76) [Update metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-78) [Delete metadata](https://www.scalifiai.com/docs/model-catalog/metadata#content-sub-section-75) * * * hide\_imageHide Images --- --- ## Model Building | Scalifi Ai Docs Source: https://www.scalifiai.com/docs/model-building Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) menu\_open # Model BuildingDocumentation Hub The vault to explore all the features of Scalifi Ai’s Model Building Service. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Scalifi Ai Documentation Hub](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/iam_docs_image_4d46301902.svg) ## Model Building Scalifi Ai's Model Building Service (MBS) will help to streamline the process of constructing machine learning models, saving time and resources. With MBS, you will get the right tools that are always at your fingertips to effortlessly construct advanced AI model designs. ## Model Building Docs [drawModel Designseast](https://www.scalifiai.com/docs/model-building/model-design) [work\_historyModel Jobseast](https://www.scalifiai.com/docs/model-building/model-job) --- --- ## Billing & Usage | Scalifi Ai Docs Source: https://www.scalifiai.com/docs/billing-and-usage Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) menu\_open # Billing and UsageDocumentation Hub The vault to explore all the features of Scalifi Ai’s Billing and Usage Center. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Scalifi Ai Documentation Hub](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/iam_docs_image_4d46301902.svg) ## Overview Welcome 👋 to the Scalifi Ai's Billing and Usage Center Documentation Hub. Our Billing and Usage Center serves as your comprehensive guide to understanding and managing your utilization of Scalifi Ai's services. Here you will find detailed insights on service wise usage stats, graphical representations of your activity, and tailored pricing plans. Explore the flexibility of custom quota upgrades, renewals, and closure requests, ensuring your subscription plan fits precisely with your needs. For any inquiries or support, our dedicated chat panel is readily available, allowing you to track quota requests and connect directly with our expert support team for assistance. Dive in to optimize and take control of your Scalifi Ai experience! ## BUC Docs [data\_usageUsageeast](https://www.scalifiai.com/docs/billing-and-usage/usage) [production\_quantity\_limitsQuotaeast](https://www.scalifiai.com/docs/billing-and-usage/quota) --- --- ## Model Job | Model Building Guide Source: https://www.scalifiai.com/docs/model-building/model-job Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Model Jobs Model Jobs within Scalifi Ai's MBS are comprehensive tasks or processes designed to handle different aspects of the machine learning model lifecycle. They include building, testing, exporting, and managing models with a focus on ease of use, efficiency, and adaptability to various computational needs. Each job type, from building the architecture to exporting for deployment, is tailored to streamline the workflow, reduce errors, and optimize performance for both high-demand and routine modeling tasks. They enable users to handle complex model operations with minimal coding, offering a user-friendly approach to sophisticated machine learning tasks. Allowed operations that users can perform on the platform are: 1. What is a Model Build Job? 2. Submit a Build Job 3. What is a Model Export Job? 4. Submit an Export Job 5. Terminate Job 6. Delete Job ## What is a Model Build Job? The Model Build Job is a robust feature designed for constructing and testing machine learning model architectures.It validates models against various hardware requirements and architectural constraints, providing a detailed report of memory and CPU needs along with errors if any. Users can choose the computational environment, such as shared or private virtual machines, to optimize performance and security. ## Submit a Build Job **Note:** You will have to create a model design first before submitting a build job. It is a good practice to run quick build before submitting a build job to validate any base level errors in the model design. 02. From the model design canvas, go to **Build Model** → **Submit Build Job**. ![mbs-submit-model-job.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_submit_model_job_cb9bde821d.svg) 04. You will be shown the requirement data like Total Memory, Total Peak Memory along with the model design layers/nodes information. ![mbs-submit-model-job-total-memory.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_submit_model_job_total_memory_e28fff4fe4.svg) 06. Next, select the virtual machine as per the requirement. ![mbs-submit-model-job-select-virtual-machine.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_submit_model_job_select_virtual_machine_f17267db40.svg) 08. Review the virtual machine information and click on **Submit Build Job** ![mbs-submit-model-job-review.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_submit_model_job_review_cadc98f4b5.svg) 10. To view the build job information, go to Model Jobs from the header menu and click on the job you want to view. You will have the entire job information like Job Type, Progress, Status, Job Result, VM Configuration, Design Quick View, and a lot more organized in a single view. ![mbs-view-per-model-job.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_view_per_model_job_e2e3a50263.svg) ## What is a Model Export Job? The Model Export Job facilitates the seamless transition from model development to deployment. It allows users to export their trained models in various formats, including framework-specific code or weight files. This feature also integrates with Scalifi Ai's Data Ingestion service to support a range of connectors, enabling efficient deployment across diverse environments like databases, cloud storage, or API endpoints. ## Submit an Export Job 1. Scalifi Ai currently supports model export as a python script or jupyter notebook. You can export the model design including both options. **Note:** - Make sure to **Save and Build** the model design at least once before exporting it. - You need to have at least one file type connector configured with appropriate scope authorization to export the model, for example: AWS S3 Connector. 3. Once the model design is ready, you can export the model design, by clicking on the **Export** button. ![mbs-export-model-design.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_export_model_design_c6d9758b66.svg) 5. Next, **Save and Build** the model design → Select source connector → Select target path. 6. Select the export options and virtual machine (if needed) in **Configure Export Options**. ![mbs-export-model-design-configuration.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_export_model_design_configuration_9f184fa5c3.svg) 8. Finally, review the export configuration and click on **Export Model**. You will find the exported file on the path you have chosen in the connector. ![mbs-export-model-design-review.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_export_model_design_review_66795563d7.svg) ## Terminate Job 1. There are two ways to terminate a job. 2. Go to the Model Jobs section from the header menu, select the job you want to delete → go to Actions → Terminate. ![mbs-terminate-model-job.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_terminate_model_job_f2a434b46d.svg) 4. From the model job page, select Action → Terminate ![mbs-terminate-model-job-from-per-job.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_terminate_model_job_from_per_job_cab72dfa20.svg) **Note:** - You can submit termination request for only one job at a time. - Termination is a dependent action. You will get proper errors while deleting a job if it is in active state. ## Delete Job 1. There are two ways to delete a job. 2. Go to the Model Jobs section from the header menu, select the job you want to delete → go to Actions → Delete. ![mbs-delete-model-job.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_delete_model_job_201cb67f14.svg) 4. From the model job page, select Action → Delete. ![mbs-delete-model-job-from-per-job.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_delete_model_job_from_per_job_6ce2cafaf4.svg) **Note:** - You can submit deletion request for only one job at a time. - Deletion is a dependent action. You will get proper errors while deleting a job if it is in active state. Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestModel Designs](https://www.scalifiai.com/docs/model-building/model-design) [NextModel Managementeast](https://www.scalifiai.com/docs/model-catalog/model-management) ##### Content [Overview](https://www.scalifiai.com/docs/model-building/model-job#overview) [What is a Model Build Job?](https://www.scalifiai.com/docs/model-building/model-job#content-sub-section-18) [Submit a Build Job](https://www.scalifiai.com/docs/model-building/model-job#content-sub-section-19) [What is a Model Export Job?](https://www.scalifiai.com/docs/model-building/model-job#content-sub-section-20) [Submit an Export Job](https://www.scalifiai.com/docs/model-building/model-job#content-sub-section-21) [Terminate Job](https://www.scalifiai.com/docs/model-building/model-job#content-sub-section-22) [Delete Job](https://www.scalifiai.com/docs/model-building/model-job#content-sub-section-23) * * * hide\_imageHide Images --- --- ## Demystifying LLMs: Architecture to Real-world Influence | Scalifi Ai Source: https://www.scalifiai.com/blog/what-is-large-language-model-llm Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # In-Depth Study of Large Language Models (LLM) 20 April 2024\|7 min read ## Introduction to Large Language Models ### What is a Large Language Model (LLM)? Large language models (LLMs) are a huge step forward in AI, particularly in comprehending and creating human language. These language models, developed using advanced machine learning techniques, are designed to mimic human linguistic abilities. Their main role isn't just processing text; they excel at understanding language nuances for coherent text generation. LLM AI aims to bridge human communication and computational understanding, creating a more intuitive interaction with machines. ### Core Components of LLMs The LLM architecture is built upon several key components, each playing a vital role in their functionality. At the core are the **neural networks**, which are computational frameworks designed to mimic the human brain's functioning. In neural networks, nodes work together to process and transmit information much like neurons in the human brain. Advanced **algorithms** help language models learn and understand language, allowing them to decode and create sentences. The foundation of these models is the **training datasets**, extensive compilations of text that provide the necessary linguistic input. These diverse training datasets offer language models a rich linguistic environment to learn from, incorporating different styles and contexts. ![llm_article_1_1.png](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fllm_article_1_1_bda474783e.png&w=3840&q=75) ( _[Source](https://www.assemblyai.com/blog/fine-tuning-transformers-for-nlp/)_) ## LLM Architecture ### Neural Network Layers and Functionality An LLM's neural network resembles a complex labyrinth, with multiple layers that each contribute to understanding different language aspects. Each layer consists of nodes, which conduct specific computational tasks. As information flows through these layers, the model processes language elements at increasing levels of complexity, from basic syntax to sophisticated contextual interpretations. ### The Transformer Model: A Paradigm Shift Transformers have revolutionized LLMs' architecture, providing a more dynamic way of processing language. Unlike traditional language models that process text linearly, transformers can process different parts of the input simultaneously. This parallel processing enables a more comprehensive understanding of text, allowing the model to capture nuanced meanings and contextual relationships more effectively. ## The Training Process of LLMs ### Preparing the Data The training process begins with meticulously preparing a dataset that is both extensive and representative. This stage involves collecting text data, removing unnecessary or sensitive information, and organizing it for effective learning. This preparation is crucial as it sets the foundation for the model's learning journey. ### The Forward Pass: Input Processing During the forward pass, the model processes input data, extracting and building on different language features in its layers. This step is where the model makes initial predictions based on its current understanding and training. ### Backward Pass: Learning from Errors Backpropagation, or the backward pass, is where the model undergoes refinement. Here, it compares its predictions against actual outcomes, identifying errors. The model then adjusts its parameters, learning from these discrepancies to improve its language processing capabilities. ### Optimization: Refining the Model Optimization algorithms and loss functions are employed to fine-tune the model's performance. These tools find errors in the model and help make changes to improve its accuracy and efficiency over time. ![llm_article_1_2.gif](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fllm_article_1_2_0941564d27.gif&w=3840&q=75) ( _[Source](https://machinelearningknowledge.ai/wp-content/uploads/2019/10/Backpropagation.gif)_) ## Scaling Up LLM AI ### Managing Billions of Parameters A big challenge in LLM machine learning is handling the many parameters, which can be in the billions. To help the model learn language effectively, advanced strategies are needed to handle the data volume without overwhelming it. ### The Computational Challenge The computational demands for training and operating LLMs are substantial. It requires powerful hardware capable of handling extensive calculations and processing large datasets. Creating LLM AI is tough, pushing tech boundaries and needing ongoing hardware and software enhancements. ![llm_article_1_3.png](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fllm_article_1_3_42a3351ee1.png&w=3840&q=75) ( _[Source](https://www.researchgate.net/figure/Overview-of-LLM-training-process-LLMs-learn-from-more-focused-inputs-at-each-stage-of_fig1_373642018)_) ## The Future of LLM AI: Potential and Perspectives ### Anticipated Technological Advancements #### Improvements in Model Efficiency The ongoing evolution of Large Language Models (LLMs) is heavily focused on enhancing their computational efficiency. This development is crucial, as it directly impacts the accessibility and resource demands of these powerful tools. Advancements aim to reduce the computational load, making LLMs more feasible for wider use, even in resource-limited environments. Methods like model pruning remove unnecessary parameters. Knowledge distillation trains a smaller model to perform like a larger one. These techniques are becoming popular. These techniques are becoming popular. These methods enable a future where we can use LLMs' amazing abilities in a more sustainable and widespread way. #### Advances in Model Architecture In the realm of architectural innovations, LLMs are poised for significant transformations. In the future, neural networks may have improved designs for better information processing and language tasks. There are two possible innovations. One is neural networks that change their structure based on the task. The other is combining different types of neural networks to use their strengths. These improvements will enhance LLMs' performance and create new opportunities for their use in diverse and challenging situations. ![llm_article_1_4.png](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fllm_article_1_4_ac05a0ffa0.png&w=3840&q=75) ( _[Source](https://blog.southparkcommons.com/the-near-future-of-ai-is-action-driven/)_) ### Ethical and Societal Considerations #### Addressing Biases As LLMs become more common, it's important to fix the biases in their training data. Future models are expected to adopt more sophisticated methods to identify and mitigate biases, ensuring fairer and more representative outputs. This could involve using various training data. It could also involve creating algorithms that identify and correct biased patterns. Additionally, it could involve incorporating a wider range of human perspectives into training models. The aim is to make LLMs that grasp language and also represent the wide range of human diversity and ideas. #### Privacy and Data Security The escalation in the capabilities of LLMs brings with it heightened concerns for privacy and data security. Ensuring that these language models respect user privacy and maintain data security is a growing priority. This may involve developing new methods to safeguard information. It also involves securely managing data and utilizing techniques such as federated learning. Federated learning allows models to be trained on multiple devices while ensuring data privacy. As LLMs continue to evolve, so too must the frameworks and technologies designed to safeguard user information. ### Industry Integration and Impact #### Broader Industry Adoption The potential integration of LLMs across various industries, from healthcare to finance, is set to revolutionize these sectors. LLMs can help diagnose patients and plan treatments in healthcare. They can also improve predictive analysis and personalized customer services in finance. Using LLMs in various fields will lead to improved outcomes and efficiency. Additionally, it will enable the development of new services and solutions that were previously unattainable. #### Collaborative AI Looking forward, the integration of LLMs with other AI technologies could lead to more comprehensive and versatile AI solutions. This collaboration could manifest in systems where LLMs work alongside visual recognition technologies or decision-making algorithms, creating a more holistic AI experience. Such collaborative AI systems could significantly enhance capabilities in areas like autonomous vehicles, personalized education, and intelligent virtual assistants. ## Real-World Applications and Impact ### Transforming Industries The practical applications of LLMs are as diverse as they are impactful. In healthcare, LLMs assist in analyzing patient data, contributing to more accurate diagnoses and personalized treatment plans. They also play a crucial role in research, helping to sift through vast amounts of medical literature and data. In finance, LLMs like GPT-4 are used for various tasks, such as automating customer service and analyzing financial data. AI's data processing and insights are changing how financial institutions work and connect with clients. ### Education and Personalized Learning In education, LLMs offer the potential for personalized learning experiences. They can adapt to individual learning styles, provide tailored educational content, and even assist in evaluating student performance. This capability is revolutionizing the educational landscape, making learning more accessible and tailored to individual needs. ### Customer Service and E-Commerce LLMs automate responses and provide 24/7 support, improving customer experience and cutting operational expenses. In online shopping, they use their knowledge of language and consumer behavior to suggest products and tailor marketing to individuals. This helps increase sales and customer interaction. ### Creative Industries In creative industries, LLMs are being used for content creation, from writing articles to generating scripts and marketing copy. Their ability to produce coherent, contextually appropriate text makes them valuable tools for writers, marketers, and content creators. ![llm-usecases-scalifiai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/llm_usecases_scalifiai_3f00b6b74e.svg) ### Ethical Considerations and the Road Ahead As LLMs continue to integrate into various facets of life, addressing ethical concerns like data privacy, security, and biases in AI becomes increasingly important. The future of LLMs will likely focus not only on technological advancements but also on developing frameworks and practices that ensure ethical and responsible use of AI. ## Conclusion ### Societal Impact LLMs have already begun to transform the way we communicate with machines and each other, a trend that is only expected to continue. They are reshaping education, where personalized learning environments are becoming more prevalent, and in the workforce, where they augment job roles and create new opportunities. ### Technological Reflection The current state of LLM AI technology is a balance of remarkable achievements and ongoing challenges. While they have demonstrated extraordinary capabilities in language understanding and generation, issues like bias, privacy, and resource demands remain significant challenges. ### Closing Thoughts The development of LLMs stands at a crossroads of innovation and responsibility. As we continue to advance these technologies, it is imperative that we do so with a keen awareness of their ethical and societal implications. Continued research and development are essential, not only to push the boundaries of what these models can achieve but also to ensure they are developed in a way that benefits society as a whole. #### Frequently Asked Questions ###### What does LLM mean? Large Language Models are advanced AI algorithms designed for processing, understanding, and generating human-like text. They use deep learning techniques and are significant in the fields of NLP and ML. ###### How do LLMs like GPT-4 work? LLMs use neural network architectures, particularly the transformer model, to process and learn from extensive text data. They undergo a training process involving forward and backward passes, adjusting their parameters based on learning from vast datasets. ###### Can LLMs like GPT-4 understand and generate multiple languages? Yes, language models like GPT-4 have shown proficiency in multiple languages, significantly enhancing their utility and accessibility globally. ###### Are there any open-source LLMs available for research and development? Yes, language models like the BLOOM model offer open-source alternatives, facilitating broader access and collaboration in AI research. ###### What are some practical applications of LLMs in industries? LLMs are used in various sectors, including finance for market analyzing, healthcare for patient data interpreting, education for personalized learning, and customer service for automated interactions. ###### What ethical considerations are associated with LLMs? Key ethical considerations include addressing biases in training data, ensuring data privacy and security, and the responsible use of AI technology. ###### How can I access and use models like GPT-4? GPT-4 can be accessed through OpenAI’s API. It offers various tiers for individual users, developers, and businesses, with pricing dependent on usage. ###### What are some popular open-source Large Language Models (LLMs) available in 2023? In 2023, the landscape of LLMs has seen a significant influx of open-source models, including the likes of LLaMA-2, OpenLLaMA, Falcon, and Mistral 7B. These models have been developed with a focus on varying parameters, optimization for different tasks, and accessibility to the wider AI community. Each model has different strengths, such as LLaMA-2's dialogue use cases and Falcon models' efficiency and scalability. For instance, the Falcon models, developed by the Technology Innovation Institute, are known for their innovative multi-query attention feature and their efficiency in both training and inference times. ###### Can open-source LLMs compete with closed-source models in performance? While open-source LLMs have generally been perceived as not as powerful as their closed-source counterparts, recent developments have shown that these models can be fine-tuned to outperform proprietary models on specific tasks. Models like Falcon and Mistral 7B have demonstrated competitive, and in some cases, superior performance to well-known models like GPT-3. ###### What are the applications of open-source LLM AI? Open-source LLMs find applications across a wide range of tasks including, but not limited to, conversational AI, content creation, language translation, code generation, and instructional tasks. Their versatility is highlighted in models like RedPajama, which is optimized for conversational AI and instructional tasks, and Mistral 7B, known for its proficiency in English language tasks and code-related activities. ###### How do the capabilities of models like Falcon and Mistral 7B compare to others? Falcon models, for example, incorporate features like multi-query attention, enhancing scalability and reducing memory costs. This makes them particularly suited for applications that require efficient inference. Mistral 7B, on the other hand, excels in natural language understanding and generation, surpassing the performance of models like LLaMA 2 on benchmark tasks, and also shows competitiveness in code-related tasks. ###### What are the system requirements for using these open-source LLMs? The system requirements vary depending on the model. For instance, Falcon-40B requires around 90GB of GPU memory, while its smaller variant Falcon-7B needs about 15GB for consumer hardware. Mistral 7B, meanwhile, is suitable for real-time applications because its Grouped-query attention mechanism enables faster inference. ###### Are there any open-source LLM AI optimized for specific tasks like chat or instruction following? Yes, many open-source LLMs are fine-tuned for specific tasks. For example, RedPajama has variations optimized for chat and instruction following, making it ideal for conversational AI and executing complex instructions. Similarly, MPT-7B from MosaicML has versions fine-tuned for chat, story writing, and short-form instruction following. #### External References 1. For an in-depth understanding of GPT-4’s capabilities and its applications across different industries, [OpenAI’s official product page](https://openai.com/gpt-4) offers detailed information. 2. To learn more about Google's Bard and its integration with web data, [Google AI Blog](https://blog.google/products/bard/google-bard-new-features-update-july-2023/) provides insights and updates. 3. For information on Meta's LLaMA-2 and the BLOOM model, including their unique features and contributions, Hugging Face’s Model Hub is a comprehensive resource. [Ref: LlaMa-2](https://huggingface.co/docs/transformers/main/model_doc/llama2) [Ref2: BLOOM](https://huggingface.co/docs/transformers/model_doc/bloom). 4. For tutorials on how to use and implement LLMs like GPT-4, [OpenAI’s documentation](https://platform.openai.com/docs/introduction) provides comprehensive guides and API documentation. Related: LLM AI in Education AI in Finance AI in Healthcare AI Ethics ##### In this blog [Introduction to Large Language Models](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-1) [LLM Architecture](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-2) [The Training Process of LLMs](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-3) [Scaling Up LLM AI](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-4) [The Future of LLM AI: Potential and Perspectives](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-5) [\- Anticipated Technological Advancements](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-6) [\- Ethical and Societal Considerations](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-41) [\- Industry Integration and Impact](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-42) [Real-World Applications and Impact](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-8) [Conclusion](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-43) [FAQs](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-faqs) [External References](https://www.scalifiai.com/blog/what-is-large-language-model-llm#content-sub-section-external-resources) * * * hide\_imageHide Images ###### Related Blogs Understanding Natural Language Processing (NLP) Essentials [Read moreeast](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp) The Beginner's Guide to AI Models: Understanding the Basics [Read moreeast](https://www.scalifiai.com/blog/what-is-an-ai-model) ###### Explore other usecases AI in Cyber Security to Redefine the Security Posture [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) Customer Churn Prediction [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) Revenue Prediction [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) --- --- ## AI/ML Credit Card Fraud Detection – Scalifi Ai Source: https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. 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[Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Credit Card Fraud Detection Prevent Modern Credit Card Frauds With the Power of AI and Regain Customer Trust & Loyalty [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Credit Card Fraud Detection](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/credit_card_fraud_1_f3c7e18d4e.svg) ## Problem Statement ##### Combat Fraud with Advanced Machine Learning and Data Analytics ![Combat Fraud with Advanced Machine Learning and Data Analytics](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/credit_card_fraud_2_368bc7a6f8.svg) A company witnessed an increase in fraudulent transactions on its customers' credit cards. There were some fraudulent activities such as purchases from unauthorized locations, unusually large purchases, and repeated transactions. The company faced losses due to these fraudulent transactions, which negatively impacted its reputation and customer trust. Their existing rule-based fraud detection system was not effective in detecting sophisticated fraudulent activities, and their manual reviews were time-consuming and costly. The company needed a more advanced solution that leverages machine learning and data analytics to accurately detect and prevent credit card fraud in real-time. ## Solution ##### Scalifi Ai's AI-Powered Fraud Detection Solution ![Scalifi Ai's AI-Powered Fraud Detection Solution](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/credit_card_fraud_3_d634e03e62.svg) To cater to this problem, Scalifi Ai’s AI-powered solution uses a machine learning model to identify patterns of fraudulent activities by analyzing customer transaction data. The model leverages feature such as purchase location, amount, frequency, and merchant type to detect potential fraud. The solution incorporates real-time monitoring and advanced data analytics to detect and prevent fraud proactively. By implementing this solution, credit card companies can significantly reduce the risk of fraudulent transactions, improve their reputation, and increase customer trust. ## Benefits ###### incomplete\_circlePrevent 99.9% of Modern Credit Card Frauds By leveraging Scalifi Ai’s advanced machine learning and data analytics, credit card companies can more accurately identify patterns of fraudulent activities, reducing the risk of financial losses due to fraudulent transactions. The solution also provides real-time monitoring of customer transaction activity, allowing for faster response times and the prevention of 99.9% of fraudulent activities before it occurs. ###### query\_statsOptimize Your Security Cost & Increase Efficiency The AI-powered solution is more cost-effective than traditional manual fraud detection methods, reducing the need for human resources and manual review. The AI model continuously learns and improves its accuracy over time through the analysis of new data and periodic training. This improves the overall efficiency of the security systems. ###### groupImproved Customer Trust & Enhanced Reputation By effectively preventing fraudulent activities, credit card companies can improve customer trust and confidence in the security of their sensitive credit card information. The use of an advanced AI-powered solution to prevent fraud can enhance the reputation of any credit card company as a reliable and secure financial service provider. ###### Related Blogs Natural Language Processing: How Neural Word Embeddings Enable Machines to Understand Text [Read moreeast](https://scalifiai-founder.medium.com/how-do-machines-understand-text-via-natural-language-processing-nlp-41aeb853ef52?source=friends_link&sk=b38399d604862bab7c3b2d12ee601dee) In-Depth Study of Large Language Models (LLM) [Read moreeast](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ###### Explore other usecases AI in Cyber Security to Redefine the Security Posture [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) Customer Churn Prediction [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) Revenue Prediction [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Scalifi Ai Blogs - The Ultimate Resource for Machine Learning Source: https://www.scalifiai.com/blogs Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Blogs ### In-Depth Study of Large Language Models (LLM) Explore the depths of Large Language Models: architecture, training, future trends, and ethical implications [Read More](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ![large language model llm usecases - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/llm_usecases_blogs_8af1da7c0e.svg) Search Blogs Search Blogs Filter: addLLM addAI Ethics addNLP 7 min read LLM AI in Education AI in Finance AI in Healthcare AI Ethics ##### In-Depth Study of Large Language Models (LLM) Explore the depths of Large Language Models: architecture, training, future trends, and ethical implications [Read more](https://www.scalifiai.com/blog/what-is-large-language-model-llm) 5 min read Natural Language Processing NLP AI in Education AI in Healthcare AI Innovation ##### Understanding Natural Language Processing (NLP) Essentials Uncover the fundamental concepts, applications, and practical insights to kickstart your journey into the fascinating realm of language processing with machines. [Read more](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp) 7 min read AI Ethics Deep Learning Machine Learning AI in Finance AI in Healthcare ##### The Beginner's Guide to AI Models: Understanding the Basics Dive into AI models, unraveling their essentials and applications and explore the transformative power of artificial intelligence. [Read More](https://www.scalifiai.com/blog/what-is-an-ai-model) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Understand Quota | Billing & Usage Guide Source: https://www.scalifiai.com/docs/billing-and-usage/quota Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. 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[Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Quota Navigate the Quota section in Scalifi Ai's Billing and Usage Center, where you can manage and customize your subscription plans efficiently. This segment offers a streamlined overview of your quota management tasks, including viewing active and past quotas, initiating new customized quota requests, and closing existing ones. It is designed as your one-stop destination for modifying and optimizing your organization's service and module allocations, ensuring a tailored and effective use of the Scalifi Ai platform. Engage with support, adjust your services, and maintain control over your subscription details, all through an intuitive and integrated interface. Allowed operations that users can perform on the platform are: 1. What is a Quota Request? 2. View Quota 3. Create Quota Request 4. Close Quota request ## What is a Quota Request? A quota request is essentially a user-initiated thread to customize their subscription plan according to specific needs. Users can select and specify the desired modules and services, and the quantity or extent of each, to tailor their usage. Once submitted, this request is reviewed and adjusted in collaboration with a support agent through a dedicated chat interface, ensuring that the final quota aligns perfectly with the organization's requirements and preferences. It's a flexible way for users to adapt their access and control costs based on their unique needs and usage patterns. ## View Quota 1. To view the submitted quota details, go to the **Quota** tab and click on the quota you want to see. ![billing-and-usage-quota.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_quota_78b473457c.svg) 3. Next, you will see the per quota page where all the details like quota status, module-wise quota and more information is displayed. ![billing-and-usage-per-quota-details.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_per_quota_details_6c58d27503.svg) 5. To upgrade or change your current quota, click on the **Upgrade Quota** button. ![billing-and-usage-upgrade-quota.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_upgrade_quota_2344204044.svg) ## Create Quota Request 01. To create a quota request, go to the **Quota Request** tab and click on **Create Quota**. ![billing-and-usage-request-quota.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_request_quota_8ed471a19a.svg) 03. Select the modules (for example: IAM, Model Building) from the drop-down list as per your requirements. ![billing-and-usage-configure-quota.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_configure_quota_859ea60c24.svg) 05. Now, choose the sub-modules, like **Policy Management**, from the tab and enter the quantity of the actions based on your requirement. If any action is not required, you can leave that field empty. ![billing-and-usage-sub-module-action-config.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_sub_module_action_config_ab8ed7104a.svg) 07. You can also customize rate limiting for high usage APIs. To configure rate limiting, click on the **Configure** button. ![billing-and-usage-configure-quota-rate-limit.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_configure_quota_rate_limit_0ffed0543d.svg) 09. Now enter the quantity of API calls and select the duration unit. ![billing-and-usage-configure-rate-limit.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_configure_rate_limit_8d8092f155.svg) 11. After completing the configuration, click on **Verify Quota**. If there are any errors while entering the quantity values, you will see an error message. Resolve the errors and re-click on **Verify Quota**. ![billing-and-usage-quota-request-error.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_quota_request_error_14b5f5e61b.svg) 13. After resolving the errors (if any), click on the **Create Quota** button. ![billing-and-usage-create-quota.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_create_quota_4e1b213de3.svg) 15. Select the valid date range and click on **Apply** and then click on **Create**. ![billing-and-usage-create-quota-date-range.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_create_quota_date_range_47a25f4d27.svg) 17. Once you have submitted the quota request, you will be redirected to the quota request page. Here, you will see the quota request information like request type, request status and request ID. 18. You can also send our support team a message if you have any query regarding the quota request using the dedicated chat panel. All the updates regarding quota request will be reflected here and via emails including status changes in quota request and messages from support team. ![billing-and-usage-per-quota-request.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_per_quota_request_14e112372e.svg) ## Close Quota request 1. There are two ways to close a quota request. 2. **From Quota Requests section**: Go to **Quota Request** tab, select the quota you want to close → go to Actions → Close request ![billing-and-usage-close-quota-request.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_close_quota_request_e24ac7d382.svg) 4. **From Quota Request page**: From the per quota request page, select Action → Close request. ![billing-and-usage-close-per-quota-request.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_close_per_quota_request_5011c6c5ac.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestUsage](https://www.scalifiai.com/docs/billing-and-usage/usage) ##### Content [Overview](https://www.scalifiai.com/docs/billing-and-usage/quota#overview) [What is a Quota Request?](https://www.scalifiai.com/docs/billing-and-usage/quota#content-sub-section-58) [View Quota](https://www.scalifiai.com/docs/billing-and-usage/quota#content-sub-section-25) [Create Quota Request](https://www.scalifiai.com/docs/billing-and-usage/quota#content-sub-section-59) [Close Quota request](https://www.scalifiai.com/docs/billing-and-usage/quota#content-sub-section-60) * * * hide\_imageHide Images --- --- ## Model Catalog | Scalifi Ai Docs Source: https://www.scalifiai.com/docs/model-catalog Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) menu\_open # Model CatalogDocumentation Hub The vault to explore all the features of Scalifi Ai’s Model Catalog. [Try for free](https://www.platform.scalifiai.com/register) [Book a demo](https://www.scalifiai.com/contact-us) ![Scalifi Ai Documentation Hub](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/iam_docs_image_4d46301902.svg) ## Overview Welcome 👋 to the Scalifi Ai’s Model Catalog Documentation Hub. A model catalog is essentially a central library for all the machine learning models used within an organization. It acts like an organized inventory, keeping track of various aspects of these models through metadata. This metadata can include details like versions, variants and its signature configuration, tags, description etc. ## Model Catalog Docs [view\_in\_arModel Managementeast](https://www.scalifiai.com/docs/model-catalog/model-management) [data\_objectMetadataeast](https://www.scalifiai.com/docs/model-catalog/metadata) [categoryModel Versioneast](https://www.scalifiai.com/docs/model-catalog/model-version) --- --- ## Low Code No-Code Ai Platform | ML Usecases | Transformers Ai Source: https://www.scalifiai.com/usecases Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) ![https://scalifiai-cms.nyc3.digitaloceanspaces.com/usecase_banner_left_56258f4ec9.svg](https://scalifiai-cms.nyc3.digitaloceanspaces.com/usecase_banner_left_56258f4ec9.svg) # Use Cases Unlock the potential of AI: Explore transformative use cases across industries with Scalifi Ai's seamless, no-code solutions. ![https://scalifiai-cms.nyc3.digitaloceanspaces.com/usecase_banner_right_274e389292.svg](https://scalifiai-cms.nyc3.digitaloceanspaces.com/usecase_banner_right_274e389292.svg) ![customer-churn-prediction.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/customer_churn_prediction_52c950f85f.svg) ##### Customer Churn Prediction Take proactive measures to re-engage buyers who are likely to churn [Read more](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) ![ai-in-cyber-security-and-mfa.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/ai_in_cyber_security_and_mfa_b3b2824058.svg) ##### AI in Cyber Security to Redefine the Security Posture Real-time Anomaly Detection and Authentication with AI and Multi-factor Authentication for Enhanced Cyber security [Read more](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) ![credit_card_fraud_1.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/credit_card_fraud_1_f3c7e18d4e.svg) ##### Credit Card Fraud Detection Prevent Modern Credit Card Frauds With the Power of AI and Regain Customer Trust & Loyalty [Read more](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) ![revenue_prediction_1.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/revenue_prediction_1_ee30c005fc.svg) ##### Revenue Prediction Unlock Precise Revenue Forecasting with Advanced AI Models Leveraging your Historical & Real-Time Data [Read more](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Track Usage | Billing & Usage Guide Source: https://www.scalifiai.com/docs/billing-and-usage/usage Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. 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[Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Usage Dive into the heart of Scalifi Ai's Billing and Usage Center through our Usage Documentation section. Here, you'll find a comprehensive overview of your engagement across Scalifi Ai's diverse services. This documentation meticulously details your interactions, presenting a clear view of your module and service-wise usage with detailed statistics and insightful graphs. It's designed to provide a thorough understanding of your resource consumption and activity patterns, empowering you to optimize your Scalifi Ai journey. ## Usage Statistics 1. Navigate to **Billing and Usage** from the profile menu. ![billing-and-usage.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_1d74d4ccc1.svg) 3. To view the detailed quota usage, go to **Usage** tab. 4. To view overall quota usage, expand **Overall Usage** section. ![billing-and-usage-overall-usage.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_overall_usage_f04ebf04f9.svg) 6. To view module-wise quota usage, for example IAM usage, go to the **Per Module Usage** section and expand **Identity & Access Management (IAM) Usage**. ![billing-and-usage-per-module-usage.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/billing_and_usage_per_module_usage_2b4c34714d.svg) 8. To filter the quota usage, use **Filter usage by month** and select the month and year. 9. You can view the quota details using the **View Quota** button in the top section. Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestModel Version](https://www.scalifiai.com/docs/model-catalog/model-version) [NextQuotaeast](https://www.scalifiai.com/docs/billing-and-usage/quota) ##### Content [Overview](https://www.scalifiai.com/docs/billing-and-usage/usage#overview) [Usage Statistics](https://www.scalifiai.com/docs/billing-and-usage/usage#content-sub-section-24) * * * hide\_imageHide Images --- --- ## Third Party Accounts | IAM Guide Source: https://www.scalifiai.com/docs/iam/third-party-accounts Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Third Party Accounts There are cases when you have data on a platform and you need to pick/share that data in a service/application. In such cases you can link your account as a third party to Scalifi Ai's platform. Third party accounts lets you connect your external accounts to the platform and share your data between services/platforms. Allowed operations that users can perform on the platform are: 1. Connect Third Party Account 2. Link Google Account 3. Link AWS Account 4. Delete Third Party Account ## Connect Third Party Account 1. To go to the third party account page, click on the profile icon in the top right corner. Select Third Party Account account from the dropdown list. ![Third-Party-Account-In-Nav-Bar.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Third_Party_Account_In_Nav_Bar_4bcc76a73d.svg) 3. Click on the Add Account button to connect a third party account. ![Add-Third-Party-Account.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Add_Third_Party_Account_c2752ebe30.svg) 5. To add a new user to the platform, go to the IAM module. ![Select-Third-Party-Account.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Select_Third_Party_Account_c8fac96d05.svg) 7. This guide will walk you through the configuration process of both Google and AWS. You can directly skip to the desired provider if you need. ## Link Google Account 01. From the list of Providers, select Google. Then click on the Link Account button. ![Add-Third-Party-Account-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Add_Third_Party_Account_Google_090a7dfe58.svg) 03. You will be redirected to the google sign in screen. If you have your account signed in then select the account. ![Authorize-Account-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Authorize_Account_Google_900d9e0aaf.svg) 05. Once you connect the account you will see the third party account in the table. ![Linked-Third-Party-Accounts-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Linked_Third_Party_Accounts_Google_649895f29c.svg) 07. Select the account, click on the **Actions** dropdown button and click on **Re-authorize**. ![Re-Authorize-Third-Party-Account-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Third_Party_Account_Google_9b103312a2.svg) 09. You will see a list of permissions that can be granted to the platform. Select the desired permissions and click on **Submit**. ![Re-Authorize-Permissions-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Permissions_Google_357d5249ad.svg) 11. You will be redirected to google login screen to select the account. Select the account. ![Re-Authorize-Account-Select-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Account_Select_Google_cd0862820e.svg) 13. Google will ask you to verify the permissions that are requested. You will see all those permissions that you have selected. ![Re-Authorize-Verify-Google.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Verify_Google_dc707abcdf.svg) 15. Once you allow the permissions you will be redirected to the platform. You can verify in the table if the permissions are added. 16. Congratulations you have linked and authorized your google account to the Scalifi Ai platform. ## Link AWS Account 01. From the list of Providers, select **AWS**. You will need the Access Key and Secret Key of your AWS account to link the account. If you don't know how to get the keys you can check the AWS guide. Enter the Access key and Secret key and click on the **Link Account** button. ![Add-Third-Party-Account-AWS.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Add_Third_Party_Account_AWS_8eb920191d.svg) 03. Once you link the account you will see your AWS account in the link. Select the account, click on the **Actions** dropdown button and **Re-authorize**. ![Re-Authorize-Third-Party-Account-AWS.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Third_Party_Account_AWS_c35b0c8e12.svg) 05. Select the permissions you want the platform to have of the AWS account and click confirm. ![Re-Authorize-Permissions-AWS.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Permissions_AWS_df1c99bf3b.svg) 07. You will see a list of AWS options and corresponding resources with a checkbox. All the checkboxes are by default checked. If it is checked the resource will be (\*) for that option. 08. If you want to add the custom resources, you uncheck the checkbox and add your custom resources. Once done click on Submit. ![Re-Authorize-Options-AWS.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Re_Authorize_Options_AWS_e8c6692c78.svg) 10. Congratulations, you have successfully linked and authorized your AWS account. ![Linked-Third-Party-Accounts-Updated-Permissions-AWS.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Linked_Third_Party_Accounts_Updated_Permissions_AWS_9d706e810a.svg) ## Delete Third Party Account You can delete any third party account if you don't need it any time. But you can delete only 1 account at a time. To delete an account, select the account, click on the **Actions** dropdown button and click on the **Delete** button. If all the checks pass, type delete in the input field and click on the **Confirm** button and your account will be unlinked from the platform.. ![Delete-Third-Party-Account.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/Delete_Third_Party_Account_d58fd7e13d.svg) Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestPolicy Management](https://www.scalifiai.com/docs/iam/policy-management) [NextModel Designseast](https://www.scalifiai.com/docs/model-building/model-design) ##### Content [Overview](https://www.scalifiai.com/docs/iam/third-party-accounts#overview) [Connect Third Party Account](https://www.scalifiai.com/docs/iam/third-party-accounts#content-sub-section-4) [Link Google Account](https://www.scalifiai.com/docs/iam/third-party-accounts#content-sub-section-5) [Link AWS Account](https://www.scalifiai.com/docs/iam/third-party-accounts#content-sub-section-6) [Delete Third Party Account](https://www.scalifiai.com/docs/iam/third-party-accounts#content-sub-section-7) * * * hide\_imageHide Images --- --- ## Rapid Prototyping AI | Scalifi Ai Source: https://www.scalifiai.com/ai-ml-model-building/features/rapid-prototyping-ai-model Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Streamline AI Model Constructionwith MBS In the realm of AI, flexibility and efficiency are paramount. Scalifi Ai’s Model Building Service (MBS) brings these elements to the forefront with features designed to revolutionise how machine learning models are built. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Streamline AI Model Construction Model Building - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/MBS_Feature_Rapid_Prototype_063bcf0270.svg) ![improvement.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/improvement_b558b0b510.svg) ##### Enhanced Model Performance Customise AI models with MBS for precision and effective performance, ensuring greater accuracy in complex tasks. ![brainstorm.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/brainstorm_34d990e70c.svg) ##### Collaborative Model Building MBS's collaborative AI model building enhances team learning, innovation, and accessibility for educational and professional projects. ![revenue.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/revenue_bf7b8bf128.svg) ##### Cost-Effective AI Solutions MBS's no-code, automated assembly reduces coding needs, speeds development, and cuts costs, making AI accessible and affordable. ![Enhanced Development Efficiency Model Building Job - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/optimize_Ai_Model_82a073ee98.svg) ### Optimise AI Models for Specific Needs Maximise AI model efficiency with MBS's Flexible Layer Configuration. Tailor AI models to your unique project needs, ensuring optimal performance and precision. This feature not only enhances model effectiveness but also addresses specific challenges, leading to improved solutions and a competitive edge in AI development. ![Rapid Prototyping and Iteration - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/rapid_Prototyping_Mbs_b4256048eb.svg) ### Rapid Prototyping and Iteration Experience faster AI development with MBS. Its intuitive interface and streamlined processes facilitate rapid prototyping and efficient iteration, significantly reducing time-to-market for AI solutions. Stay ahead in the fast-paced tech world by quickly adapting to changing requirements and accelerating innovation. ![Empower Workforce with Efficient Tools - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/empower_Workforce_AI_9ff2320bda.svg) ### Empower Your Workforce with Efficient Tools Elevate team productivity with MBS's efficient AI model development tools. By simplifying complex tasks, MBS allows your team to focus on innovation and strategic problem-solving, thus boosting overall productivity and contributing to the advancement of AI projects in a fast-evolving technological landscape. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Low Code No Code Contact Us – Scalifi Ai Source: https://www.scalifiai.com/contact-us Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. 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[Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Legal ### Website [Privacy noticeeast](https://www.scalifiai.com/legal/website/privacy-notice) [Terms and conditionseast](https://www.scalifiai.com/legal/website/terms-and-conditions) [Cookie policyeast](https://www.scalifiai.com/legal/website/cookie-policy) ### Platform [Privacy noticeeast](https://www.scalifiai.com/legal/platform/privacy-notice) [Cookie policyeast](https://www.scalifiai.com/legal/platform/cookie-policy) [Acceptable use policyeast](https://www.scalifiai.com/legal/platform/acceptable-use-policy) [Terms and conditionseast](https://www.scalifiai.com/legal/platform/terms-and-conditions) [Return Policyeast](https://www.scalifiai.com/legal/platform/return-policy) Office address: 516, 5th Floor, Emrald Plaza, Sector 65, Gurugram, Haryana, India, 122102 Registered address: B-16, Rosewood City, Sector 49, Gurugram, Haryana, India, 122101 #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## An Introduction to NLP: Unlock It's Power and Potential Source: https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Understanding Natural Language Processing (NLP) Essentials 20 April 2024\|5 min read ## Introduction to Natural Language Processing This article aims to cover what natural language processing is in layman's terms with visual and code examples. We will have a different approach in understanding NLP unlike other articles out there for NLP basics. Let’s start with the human approach to understanding things and gradually get on with mathematical concepts in depth in a series of articles rather than directly jumping into terminologies or use cases of NLP in the Machine Learning and statistical computing domains. ## What is Natural Language Processing(NLP)? Few definitions of NLP: > Natural language processing (NLP) refers to the branch of computer science — and more specifically, the branch of [artificial intelligence or AI](https://www.ibm.com/topics/artificial-intelligence) — concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. (Source: [https://www.ibm.com/topics/natural-language-processing)](https://www.ibm.com/topics/natural-language-processing) > Natural language processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language.Natural language processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language. (Source: [https://aws.amazon.com/what-is/nlp/)](https://aws.amazon.com/what-is/nlp/) In the most basic terminology, Humans use multiple languages to communicate in terms of text and speech. However, still, machines are not so advanced (still far from representing human consciousness mathematically) to understand these languages natively or learn them as humans do. Natural Language Processing, is a branch of Artificial Intelligence that provides methods via which machines can make some sense of those native languages via mathematical equations and advanced machine learning techniques. ## How does NLP actually work? ![how-does-nlp-work.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/how_does_nlp_work_ae722d0e0d.svg) Let us start by thinking about how did we learn the language that we are communicating in? There are different strategies for learning and understanding a language depending on if you already know any other language and your age group. To better understand NLP let's consider how a child learns and starts understanding a particular language: 1. Children start understanding a language through interaction - not only with their parents and other adults but also with other children. All normal children who grow up in normal households, surrounded by conversation, will acquire the language used around them. 2. Our brain continuously tries to understand the meaning of words, what they mean, and what they represent. Over a period of time, this collective knowledge helps us in forming meaningful sentences and express our thoughts. As machines work on pure numbers and understand only numbers we need a way to convert our language, words, and their correlation into a numerical representation. This is done by building Word Embeddings which try to capture the meaning of words and how they are related to other words. ## Introduction to Neural Word Embeddings in NLP ![word-embedings-in-nlp.webp](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fword_embedings_in_nlp_cb3b0464f0.webp&w=3840&q=75) ( _[Source](https://www.analyticsvidhya.com/blog/2021/06/practical-guide-to-word-embedding-system/)_) Word embeddings are vector representations of a collection of words (vocabulary) which are then used to create a high-level representation of any sentence using those vectors. The most common word embeddings include Glove and Word2Vec. These embeddings are pre-trained on a large corpus of data with different training methods and models like Bag of Words (BOW) and Skip N-Gram training methods. (In this article we will not get into the depth of how these word embeddings are created and trained) > This means that each word is represented by an array of numbers, if we calculate the cosine similarity between two words that gives us what their semantic similarity is. > > Eg: Based on pretrained embedding [“glove-twitter-25”](https://nlp.stanford.edu/projects/glove/) > > If we calculate the cosine similarity between the words “cat” and “dog” it comes out to be 0.95908207 > > And if we calculate the cosine similarity between the words “cat” and “france” it comes out to be 0.36348575 > > This shows the semantic similarity between the chosen words and in turn helps any machine learning model to understand the English language better semantically. We can clearly see that the value for words “cat” and “dog” is way higher (as they are both animals that too four legged) and the value between “cat” and “france” is way lower (as one is an animal and one is a country) Following are the vector representations of the words discussed above: ![vector-representation-for-word-cat-nlp.webp](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fvector_representation_for_word_cat_nlp_f7e88bc1f6.webp&w=3840&q=75) ![vector-representation-for-word-dog-nlp.webp](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fvector_representation_for_word_dog_nlp_d01805a7ad.webp&w=3840&q=75) ![vector-representation-for-word-france-nlp.webp](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2Fvector_representation_for_word_france_nlp_262df0761b.webp&w=3840&q=75) Let's better understand the above examples with a 3D visualization. ![3d-visualization.webp](https://www.scalifiai.com/_next/image?url=https%3A%2F%2Fscalifiai-cms.nyc3.cdn.digitaloceanspaces.com%2F3d_visualization_df88a52473.webp&w=3840&q=75) I hope the above plot gives a better understanding of what the vectors represent and how similar words can be easily differentiated if the word embedding is trained properly on a clean and well-processed corpus > The above illustration is just for understanding purposes and has been generated by compressing each word vector to have only 3 values (x, y, z) so that we can visualize it. > > This visualization gives us a better understanding of the vector overall despite having only 3 dimensions, hence any machine learning model utilizing pre trained word embeddings gets better semantic understanding of words as they have even more dimensions / granularity to play with. Few pre trained word embeddings go up to 300 values per vector for better granularity and performance. ## Conclusion I hope this article serves as an overview of how machines are able to understand natural languages and perform complex calculations over them for applications like Named Entity Recognition, Auto Correct and Autocomplete tasks, Text generation based on prompts, etc. In the upcoming articles, we will see how we can train our own embeddings, different ways of training (their pros and cons), and use them in real-life applications. To have your own NLP space and to get a better understanding of AI Concepts without the compulsion of writing code, you can head onto Scalifi Ai, which is a No-Code platform built for creating artificial intelligent pipelines and services. #### Frequently Asked Questions ###### What is Natural Language Processing (NLP)? Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and contextually relevant. ###### How does NLP work? NLP algorithms utilize a combination of linguistics, statistics, and machine learning techniques to analyze and process human language. These algorithms break down language into its constituent parts, such as words, phrases, and sentences, and then apply various mathematical models to understand and derive meaning from them. ###### What are some applications of NLP? NLP has numerous applications across various industries, including sentiment analysis, machine translation, chatbots, virtual assistants, text summarization, speech recognition, and information extraction from unstructured data sources like social media, emails, and documents. ###### What are the main challenges in NLP? Some of the main challenges in NLP include dealing with ambiguity in language, understanding context, handling linguistic nuances, accurately representing meaning, and processing large volumes of data efficiently while maintaining accuracy and relevance. ###### What is the difference between NLP and natural language understanding (NLU)? NLP refers to the broader field of processing and manipulating natural language data, while NLU specifically focuses on the task of understanding the meaning and intent behind human language. NLU is a subset of NLP that deals with comprehension and interpretation. ###### What are some popular NLP tools and libraries? There are several popular NLP tools and libraries available, including NLTK (Natural Language Toolkit), spaCy, Gensim, Stanford NLP, OpenNLP, CoreNLP, and TensorFlow's NLP module. These tools provide pre-built functions and models for various NLP tasks. ###### What is the role of machine learning in NLP? Machine learning plays a crucial role in NLP by providing algorithms and techniques for training models to recognize patterns and structures in language data. Supervised learning, unsupervised learning, and deep learning methods are commonly used in NLP tasks. ###### How is NLP used in sentiment analysis? Sentiment analysis, a common NLP application, involves analyzing text data to determine the sentiment or emotional tone expressed within it. NLP techniques are used to classify text as positive, negative, or neutral, enabling businesses to understand customer opinions, reviews, and feedback. ###### What is the future of NLP? The future of NLP holds promising advancements, including more accurate language understanding, improved multilingual capabilities, enhanced context awareness, and the integration of NLP with other AI technologies like computer vision and robotics, leading to more intelligent and natural interactions between humans and machines. ###### How can I get started with learning NLP? To get started with learning NLP, you can begin by studying fundamental concepts in linguistics, statistics, and machine learning. Then, explore NLP-specific resources such as online courses, tutorials, research papers, and hands-on projects using NLP libraries and tools mentioned earlier. Experimenting with real-world datasets and challenges is also an effective way to gain practical experience in NLP. ###### What is the difference between NLP and computational linguistics? While NLP focuses on the practical application of computational techniques to process and understand natural language, computational linguistics is a broader interdisciplinary field that encompasses both the theoretical study of language and the development of computational models for linguistic analysis and processing. ###### Can you explain the concept of tokenization in NLP? Tokenization is the process of breaking down a piece of text into smaller units, typically words or subwords, known as tokens. This step is essential in NLP tasks as it helps in standardizing and structuring the text data for further analysis and processing. ###### What is named entity recognition (NER) in NLP? Named Entity Recognition (NER) is a subtask of information extraction that aims to identify and classify named entities within text into predefined categories such as names of persons, organizations, locations, dates, and numerical expressions. NER is commonly used in applications like entity linking, question answering, and document summarization. ###### How does NLP contribute to machine translation? NLP techniques play a crucial role in machine translation systems by enabling computers to automatically translate text from one language to another. These systems employ various approaches such as statistical machine translation, neural machine translation, and transformer models to generate accurate and fluent translations by analyzing and understanding the linguistic structure and context of the input text. ###### What are some ethical considerations in NLP research and applications? Ethical considerations in NLP include issues related to bias and fairness, privacy and data protection, transparency and accountability, as well as societal impacts such as job displacement and cultural implications. Researchers and practitioners in the field are increasingly aware of these concerns and are actively working towards developing responsible and ethical AI systems. #### External References 1. [What is Natural Language Processing](https://monkeylearn.com/natural-language-processing/) 2. [What is Word Embeding?](https://www.ibm.com/topics/word-embeddings) 3. [What is Named Entity Recognition](https://www.techtarget.com/whatis/definition/named-entity-recognition-NER) 4. [What is Sentiment Analysis](https://aws.amazon.com/what-is/sentiment-analysis/) 5. [Master NLP in Python](https://www.analyticsvidhya.com/blog/2021/06/part-2-step-by-step-guide-to-master-natural-language-processing-nlp-in-python/) 6. [NLP Roadmap](https://www.analyticsvidhya.com/blog/2022/01/roadmap-to-master-nlp-in-2022/) Related: Natural Language Processing NLP AI in Education AI in Healthcare AI Innovation ##### In this blog [Introduction to Natural Language Processing](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-47) [What is Natural Language Processing(NLP)?](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-78) [How does NLP actually work?](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-50) [Introduction to Neural Word Embeddings in NLP](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-46) [Conclusion](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-54) [FAQs](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-faqs) [External References](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp#content-sub-section-external-resources) * * * hide\_imageHide Images ###### Related Blogs The Beginner's Guide to AI Models: Understanding the Basics [Read moreeast](https://www.scalifiai.com/blog/what-is-an-ai-model) In-Depth Study of Large Language Models (LLM) [Read moreeast](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ###### Explore other usecases AI in Cyber Security to Redefine the Security Posture [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) Customer Churn Prediction [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) Revenue Prediction [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) --- --- ## Customer Churn Prediction | Predict Customer Churn - Scalifi Ai Source: https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. 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This was creating a negative impact on its revenue and profitability. Despite the company's efforts to retain customers through generic marketing strategies, they have not been unable to identify the underlying cause of the problem or predict which customers are most likely to churn. To address the problem of customer churn, the company required a solution that will enable them to identify the root cause of the problem and accurately predict which customers are most likely to churn. By targeting these customers with personalized marketing strategies, they aim to reduce churn, increase revenue and customer loyalty, and improve profitability. ## Solution ##### AI-Powered Customer Churn Analysis - A Path to Growth and Profitability ![AI-Powered Customer Churn Analysis - A Path to Growth and Profitability](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/customer_churn_prediction_solution_2dbe356320.svg) The company leveraged Artificial Intelligence (AI) to overcome its growing challenge of customer churn. By analyzing customer data, AI can predict which customers are most likely to churn and provide valuable insights into the underlying factors contributing to churn. With this data, organizations can develop targeted and personalized marketing campaigns aimed at retaining their most valuable customers and improving their Return on Investment (ROI). Scalifi Ai's Customer Churn Analysis is an effective solution that helps companies to achieve its objective. This can be achieved by focusing its personalized marketing efforts on the most profitable customers and those at risk of churning, the company aims to reduce churn and increase revenue. ## Benefits ###### groupRetain Churning Customers Scalifi Ai's AI Models get trained in your company's historical data & customer data and can make accurate predictions to identify which customers are most likely to churn and provide valuable insights into the underlying factors contributing to churn. ###### query\_statsMake Smart Data-Driven Decisions With the help of Scalifi Ai’s AI-powered customer churn analysis, organizations can make data-driven decisions to retain their valuable customers. The insights from the AI Models can be easily integrated into your CRM software to execute smart data-driven strategies. ###### dashboard\_customizeProvide Personalized Experiences With the help of Scalifi Ai’s Customer Churn Analysis, you now focus personalized marketing efforts on the most profitable customers and those at risk of churning. This will significantly increase revenue and drive rapid growth. ###### Related Blogs Natural Language Processing: How Neural Word Embeddings Enable Machines to Understand Text [Read moreeast](https://scalifiai-founder.medium.com/how-do-machines-understand-text-via-natural-language-processing-nlp-41aeb853ef52?source=friends_link&sk=b38399d604862bab7c3b2d12ee601dee) In-Depth Study of Large Language Models (LLM) [Read moreeast](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ###### Explore other usecases AI in Cyber Security to Redefine the Security Posture [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) Credit Card Fraud Detection [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) Revenue Prediction [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Advanced Model Design and Export Capabilities | Scalifi Ai Source: https://www.scalifiai.com/model-catalog/features/advanced-model-design-and-export Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. 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Quickly test, verify, and refine AI models using a no-code canvas. This will significantly accelerate development cycles and promote innovation through easy experimentation by customizing existing registered model variants. ![Rapid and Flexible Model Export - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/rapid_Model_Export_63e6f6ecda.svg) ### Export models to deploy in various environments Simplify your workflow and unlock the full potential of your models across multiple deployment scenarios. 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Time Saved Per Employee Daily by 5+ Hours ![no code and low code platform](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/nocode_4884b81de2.svg) ![Optimized Training of AI Models](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/scale_47abeefc16.svg) ### Highly Scalable AI Solutions Scaling AI solutions can be a challenge, especially for businesses that are rapidly growing or have a fluctuating demand for their services. With Scalifi Ai, scaling AI solutions is easy, as our platform is built to accommodate businesses of all sizes and industries. Our AI models scale with the flow of your growing business. AI Models can be Scaled by 99% ### Resource-Optimized Training of AI Models Training and tuning AI models can be a laborious and resource-intensive process, often requiring significant investment in time, money, and resources. Scalifi Ai’s platform automates the training and tuning of AI models, saving time, costs, and resources for organizations and letting them focus on other aspects of the business. Resource-Optimized Training of AI Models 6x ![Optimized Training of AI Models](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/ai_Model_7f59e7cbb2.svg) #### Integrate with Your Technology Stack Maximize your efficiency and streamline your workflows with Scalifi Ai's compatibility with the tools you already use and trust. Enhance your existing technology stack with the added power of AI. ![aws](https://www.scalifiai.com/_next/static/media/awsLogo.18ddbdca.svg) ![mySql](https://www.scalifiai.com/_next/static/media/mySql.f1a4a93f.svg) ![pgSql](https://www.scalifiai.com/_next/static/media/pgSql.e0f9dc44.svg) ![google sheet](https://www.scalifiai.com/_next/static/media/googleSheet.c6b81f5b.svg) ![one drive](https://www.scalifiai.com/_next/static/media/oneDrive.cc2620f1.svg) ![google drive](https://www.scalifiai.com/_next/static/media/googleDrive.a2eaf842.svg) ![ec2](https://www.scalifiai.com/_next/static/media/ec2.6cbeed40.svg) #### How Scalifi Ai Makes Your Work Effortless code\_off ### Low-Code & No-Code Platform We offer pure No-Code Low-Code services for building and integrating ML and DL models. tune ### Highly Customizable The architecture of Scalifi Ai is multi-layered which makes it easier to customize frontend and backend services. extension ### Seamless Integration We provide custom connectors & plugins to integrate our solutions with any existing apps you are using. extension ### Easy Drag & Drop Feature Anyone can use our platform to build & train AI models with just drag & drop and without writing a single line of code. linear\_scale ### Scale As You Grow Our solutions automatically scale as your company grows and adapts to changing situations & requirements swiftly. rocket\_launch ### Flexible Deployment Options You can deploy Scalifi Ai on cloud, on-premise & hybrid as per your business requirements. #### Find Solution For Different Use Cases ![ai in churn prediction](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/churn_Prediction_70f6a66d27.svg) ### Customer Churn Prediction Learn how the Churn Prediction solution by Scalifi Ai helps retain churning customers! [Read More](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) ![ai in cyber security](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/cyber_Security_03ff6d08aa.svg) ### AI in cyber security When loopholes in traditional security make businesses vulnerable, AI comes to the rescue! [Read More](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) ![credit card fraud detection](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/credit_card_fraud_1_f3c7e18d4e.svg) ### Credit card fraud detection How Scalifi Ai’s Credit card fraud detection is helping businesses to validate credit card and avoid risk! [Read More](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) ![revenue prediction](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/revenue_Prediction_4a8107fe98.svg) ### Revenue Prediction Scalifi Ai’s Revenue Prediction solution helps business leaders make informed decisions based on accurate predictions of the revenue! [Read More](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) #### Frequently Asked Questions ![scalifi ai faqs](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/faq_Circle_c5b0483a96.svg) ## Do I need to have advanced coding knowledge for building AI Models? Our platform offers no-code & low-code features and if you have basic knowledge of machine learning then you can easily drag and drop the frameworks and build the required AI model as per your requirement. You don’t have to write a single line of code, which means that both your time & efforts are optimized. In case, you don’t have knowledge of machine learning, then you can use our auto ML feature where the entire process is automated. With auto ML, you can automate the selection, composition, and parameterization of ML models. Hence, that’s why we say that anyone can use Scalifi Ai’s platform to create robust AI models. ## What is the difference between low-code & no-code? Low code platforms mean that you will get a visual development environment that will allow you to build AI models with minimal hand-coding. It typically involves a drag-and-drop interface and pre-built components. Basic coding knowledge will be required to operate in low-code platforms. Whereas a no-code platform will enable you to create AI models using visual interfaces, drag-and-drop functionality, and pre-configured components. No coding knowledge is required for operating in no-code platforms. Scalifi Ai provides both low-code & no-code features in the platform to enable both technical & non-technical users to build AI models while saving valuable time & effort. ## Where is my data stored? You can choose where you want to store your data. You can keep your data in the Virtual Private Cloud (VPC) or any other database that you are using. Scalifi Ai won’t store or copy any of your data without your consent. You can also choose to store your valuable data on Scalifi Ai’s secure servers as well. We ensure high-level data confidentiality in all our databases, clouds & servers. You can also leverage Scalifi Ai’s specialized feature for Data Security called Data Confidentiality, which is designed to keep all your data safe & protected. ## Can I train the AI models on our organization’s VPC (Virtual Private Cloud)? Yes, you can easily train the AI models in your organization's VPC (Virtual Private Cloud), and Scalifi Ai won’t store your data or make a copy unless you choose to do so. You can sync your VPC & databases to feed the AI models with relevant data for training purposes. Scalifi Ai provides a flexible platform for no code model building & training which does not require you to copy or store any of your data in Scalifi Ai’s servers unless you wish to use our secure servers and clouds to store your data securely. We focus on data confidentiality and enforce policies and special measures to ensure the privacy of our clients. ## How AI Models can optimize my business processes? AI models offer numerous benefits in optimizing business processes. Through automation, they can streamline repetitive tasks, freeing up valuable time for employees to focus on more strategic activities. Additionally, AI models excel at analyzing vast amounts of data, enabling informed decision-making and uncovering valuable insights that may otherwise go unnoticed. By harnessing the power of AI, businesses can deliver personalized experiences to their customers. AI models analyze customer data to understand preferences, behaviors, and purchase history, enabling targeted recommendations, offers, and marketing campaigns. This personalized approach enhances customer satisfaction, and engagement, which will drive more conversions & repeat sales. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Programmatic Access with Python Library | Scalifi Ai Source: https://www.scalifiai.com/model-catalog/features/programmatic-access-with-python-library Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Programmatic Access withPython Library Unlock the power of automation and model manipulation with Programmatic Access using Scalifi Ai’s Python Library. Seamlessly integrate your Python scripts with external systems and APIs, enabling streamlined model retrieval, and manipulation. With intuitive syntax and robust functionality, our library empowers developers to automate tasks, and build scalable AI solutions with ease. Experience the efficiency of programmatic access, revolutionizing your workflow and maximizing productivity. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Programatic Access Python Library Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/programatic_access_python_library_8ed024d3cd.svg) ![improved-efficiency-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/improved_efficiency_model_catalog_scalifi_ai_11f515b840.svg) ##### Improved Efficiency Automate tasks to save significant time and effort compared to manual management through Scalifi Ai’s Model Catalog Service user interface. This allows data scientists to focus on more strategic work. ![enhanced-developer-experience-model-catalog-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/enhanced_developer_experience_model_catalog_scalifi_ai_782a3ad29c.svg) ##### Enhanced Developer Experience The library provides a familiar Python interface for interacting with the Model Catalog, improving developer productivity. ![boost-productivity-model-catalog-service-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/boost_productivity_model_catalog_service_scalifi_ai_2b78f9717e.svg) ##### Boost productivity With intuitive syntax and powerful functionality, unleash the full potential of automation to tackle complex processes swiftly and effectively. ![Register Fetch Manage Models Programmatically Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/register_fetch_manage_models_programmatically_scalifi_ai_92f9162cb6.svg) ### Register, Fetch, and Manage Models Programmatically Provide developers with seamless access to the Model Catalog's functionalities through code and systematically utilize comprehensive, reliable, and relevant information derived from various models to make sound and well-founded decisions. By understanding how different models were built and what data they were trained on, you can make more informed decisions about which model to use for a particular task. ![Customized Model Structure Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/customized_model_structure_model_catalog_service_4cbd27136d.svg) ### Integration with Workflows Integrate model management tasks with your existing Python workflows, streamlining the entire machine learning pipeline. By integrating programmatic access, developers can streamline model deployment, enhance collaboration, and ensure scalability across projects, all while maintaining flexibility and control over their model assets. This ensures a cohesive and efficient integration of AI capabilities into your organization's operations. ![Task Automation Model Catalog - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/model_catalog_automation_scalifi_ai_8236391da8.svg) ### Automation Automate repetitive tasks associated with model management, such as: registering new models with their metadata and artifacts, creating and managing different versions of models, triggering deployments of models to various environments, downloading specific model versions for further analysis. By automating these essential processes, data scientists can streamline their workflow, enhancing productivity and allowing more time for valuable innovation. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## AI Models 101: A Beginner's Guide to Getting Started Source: https://www.scalifiai.com/blog/what-is-an-ai-model Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # The Beginner's Guide to AI Models: Understanding the Basics 20 April 2024\|7 min read ## Introduction Imagine a world where machines can learn from experience, make intelligent decisions, and even generate creative content. This is no longer the realm of science fiction; it's the reality we're living in thanks to the transformative power of the AI model. These intelligent systems are revolutionizing various aspects of our lives, from the way we interact with technology to the way businesses operate. But what exactly are AI models, and how do they work? This comprehensive guide delves into the fascinating world of AI models, exploring their architecture, different types, and the vast array of applications that are shaping our future. ## What is an AI Model? An AI model is a computational framework designed to mimic human intelligence. It's essentially a software program trained on vast amounts of data to learn patterns, identify relationships, and make predictions. Unlike traditional programming, AI models don't require explicit instructions for every task. Instead, they learn and adapt through experience, continuously improving their performance over time. An AI model is a computational framework designed to mimic human intelligence. It's essentially a software program trained on vast amounts of data to learn patterns, identify relationships, and make predictions. Unlike traditional programming, AI models don't require explicit instructions for every task. Instead, they learn and adapt through experience, continuously improving their performance over time. The significance of AI models lies in their ability to: 1. **Automate complex tasks:** AI models can handle repetitive and time-consuming tasks with high accuracy, freeing up human resources for more strategic endeavors. 2. **Make data-driven decisions:** By analyzing vast datasets, AI models can uncover hidden patterns and insights that would be difficult for humans to identify, leading to more informed decision-making. 3. **Personalize experiences:** AI models can tailor experiences to individual needs and preferences, enhancing user engagement and satisfaction. ![significance-of-ai-models.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/significance_of_ai_models_8c16c3563d.svg) ## Understanding the Architecture of AI Models To grasp the inner workings of AI models, it's crucial to understand their fundamental components: - **Input Layer:** This layer receives raw data, such as images, text, or numerical values, and prepares it for processing by subsequent layers. - **Hidden Layers:** These layers, often consisting of interconnected nodes, perform the core computations and learning processes. The number and complexity of hidden layers determine the model's ability to learn intricate patterns. - **Output Layer:** This layer generates the final output, which can be a prediction, classification, or another form of result based on the processed data. ## The Training Process: Empowering AI Models to Learn AI models don't possess inherent knowledge; they acquire it through a process called training. This involves: - **Data Feeding:** The model is exposed to a massive dataset relevant to the task it's designed for. - **Parameter Adjustment:** The model's internal parameters, such as weights and biases, are constantly adjusted based on the comparison between its predictions and the actual outcomes in the training data. - **Error Minimization:** Through iterative adjustments, the model strives to minimize the difference between its predictions and the actual outcomes, gradually improving its accuracy. ## Optimization Algorithms: Accelerating the Learning Journey The training process of AI models can be computationally expensive, especially for complex models with large datasets. Optimization algorithms play a crucial role in speeding up the learning process by efficiently adjusting the model's parameters to minimize the error between its predictions and the actual outcomes. Here are some commonly used optimization algorithms in AI: - **Gradient Descent:** This iterative algorithm calculates the **gradient**, which indicates the direction of the steepest descent in the error function. The model's parameters are then adjusted in small steps along this direction, gradually minimizing the error. - **Stochastic Gradient Descent (SGD):** This variant of gradient descent updates the model's parameters based on a single data point or a small batch of data points at each iteration. This can be more efficient than using the entire dataset for each update, especially for large datasets. - **Adam:** This advanced algorithm combines the strengths of several other optimization algorithms, adapting the learning rate for each parameter individually and achieving faster convergence. ## Regularization Techniques: Preventing Overfitting and Enhancing Generalizability While training an AI model, it's essential to strike a balance between **accuracy** and **generalizability**. Overfitting occurs when the model memorizes the training data too closely, leading to poor performance on unseen data. **Regularization techniques** help prevent overfitting by introducing constraints that penalize overly complex models. Here are some common regularization techniques: - **L1 regularization:** This technique adds the absolute value of the model's weights to the error function, encouraging sparsity and reducing the model's complexity. - **L2 regularization:** This technique adds the square of the model's weights to the error function, penalizing large weights and promoting smoother decision boundaries. - **Dropout:** This technique randomly drops a certain percentage of neurons during training, forcing the model to rely on a broader set of features and improve its generalizability. By incorporating optimization algorithms and regularization techniques, we can train AI models that are both **accurate** and **generalizable**, performing well on unseen data and avoiding overfitting to the training data. ## A Spectrum of AI Models: Catering to Diverse Needs ## How to Build and Train an AI Model Now that you've grasped the core concepts and diverse landscape of AI models, let's explore the practical steps involved in building and training your own: 1. **Define the Problem and Objective:** The first step is to clearly define the **problem you want to solve** and the **desired outcome** of your AI model. This will guide your choice of model type, data selection, and evaluation criteria. 2. **Gather and Prepare Data:** Your data's quality and relevance are crucial for your AI model's success. Ensure you have a **sufficient amount of high-quality data** relevant to your chosen task. This may involve data collection, cleaning, preprocessing, and labeling (for supervised learning). 3. **Choose the Right Model and Framework:** Based on your problem definition and data characteristics, select the appropriate **model type** (e.g., supervised learning, deep learning) and a suitable **development framework** (e.g., TensorFlow, PyTorch) that aligns with your technical expertise and computational resources. 4. **Train the Model:** This stage involves feeding your prepared data into the chosen model and iteratively adjusting its internal parameters through an **optimization algorithm**. The model learns from the data patterns and gradually improves its ability to perform the desired task. 5. **Evaluate and Fine-tune:** Once trained, evaluate the model's performance on **unseen data** using relevant metrics. This helps assess its generalizability and identify potential areas for improvement. Based on the evaluation results, you may need to fine-tune the model by adjusting hyperparameters, collecting more data, or trying different model architectures. 6. **Deploy and Monitor:** Once satisfied with the model's performance, deploy it into a production environment where it can be used for real-world applications. Continuously monitor the model's performance and retrain it periodically with new data to maintain accuracy and adapt to evolving conditions. Building and training an AI model can be a complex process, but with the right tools, resources, and a structured approach, you can unlock the potential of this transformative technology. Scalifi Ai offers comprehensive solutions to streamline your AI development journey. Their 'Model Building Service' ( [https://www.scalifiai.com/ai-ml-model-building](https://www.scalifiai.com/ai-ml-model-building)) provides expert guidance and technical expertise to help you build and train high-performing AI models tailored to your specific needs. ## Real-World Use-Cases of AI Models: 01. **Natural Language Processing (NLP) in Virtual Assistants:** AI models, particularly those powered by advanced [NLP](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp) techniques, are the brains behind virtual assistants like Siri, Alexa, and Google Assistant. These models excel in understanding and responding to natural language queries, making them integral to our daily lives for tasks such as setting reminders, answering questions, and providing personalized recommendations. Read more at: [Credit Card Fraud Detection](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) 02. **Image Recognition in Healthcare:** In the healthcare sector, AI models are transforming diagnostics through image recognition. Models like Convolutional Neural Networks (CNNs) can analyze medical images, such as X-rays and MRIs, aiding in the early detection of diseases like cancer. This technology accelerates the diagnostic process and enhances the accuracy of medical assessments. 03. **Fraud Detection in Financial Services:** Financial institutions leverage AI models for [fraud detection](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) and prevention. Machine learning models analyze transaction patterns, detect anomalies, and flag potentially fraudulent activities in real-time. This proactive approach helps mitigate financial losses and safeguards the integrity of financial systems. Read more at: [Credit Card Fraud Detection](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) 04. **Autonomous Vehicles:** The development of autonomous vehicles relies heavily on AI models. These models process vast amounts of sensor data, including images, lidar, and radar inputs, to make split-second decisions about steering, acceleration, and braking. AI models enable vehicles to navigate complex traffic scenarios and respond to dynamic environments. 05. **Language Translation:** AI models, especially those based on transformer architectures, have significantly improved the field of language translation. Platforms like Google Translate utilize these models to provide accurate and context-aware translations across multiple languages, breaking down communication barriers on a global scale. 06. **Personalized Content Recommendations:** Streaming services and e-commerce platforms leverage AI models to provide personalized content recommendations. These models analyze user behavior, preferences, and historical data to suggest movies, music, or products tailored to individual tastes, enhancing user experience and engagement. 07. **Predictive Maintenance in Manufacturing:** AI models play a crucial role in predictive maintenance for manufacturing equipment. By analyzing sensor data and historical performance, these models can predict when machinery is likely to fail, allowing for timely maintenance and reducing downtime, ultimately improving operational efficiency. 08. **Agricultural Yield Prediction:** In agriculture, AI models are used to predict crop yields based on various factors such as weather patterns, soil conditions, and historical data. This information helps farmers make informed decisions about planting, irrigation, and harvesting, optimizing agricultural practices for increased productivity. 09. **Sentiment Analysis in Social Media:** Brands utilize AI models for sentiment analysis on social media platforms to gauge public perception. Natural Language Processing models analyze social media posts and comments, providing insights into how customers feel about products, services, or marketing campaigns. ![real-world-usecases-of-ai-models.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/real_world_usecases_of_ai_models_ee8e00b516.svg) 11. These are just a few examples, and the potential applications of AI models continue to expand rapidly across various sectors. As AI technology evolves, we can expect even more innovative and transformative applications to emerge, shaping the future of our world in profound ways. ## The Future of AI Models: A Glimpse into a Transformative Era 1. The journey of AI models is far from over. As we look towards the horizon, several exciting trends and advancements are poised to shape the future of this transformative technology: - **Increased Complexity and Accuracy:** AI models are expected to become increasingly complex, with deeper neural network architectures and more sophisticated algorithms. This will lead to enhanced accuracy and capabilities, enabling them to tackle even more intricate tasks and outperform human performance in specific domains. - **Explainable AI (XAI):** As AI models become more complex, understanding their decision-making processes becomes crucial. XAI techniques will play a vital role in making AI models more transparent, interpretable, and trustworthy, fostering responsible development and deployment. - **Integration with Emerging Technologies:** The convergence of AI with other cutting-edge technologies like quantum computing holds immense potential. Quantum computers could accelerate AI model training and enable the development of even more powerful models capable of solving currently intractable problems. - **Democratization of AI:** The development and deployment of AI models will become more accessible through advancements in tools, platforms, and cloud-based resources. This will democratize AI, allowing individuals and organizations with limited resources to leverage its power and unlock new possibilities. ## Conclusion As AI models become more deeply embedded in our lives, ethical considerations regarding bias, fairness, and privacy will become paramount. Responsible development and deployment practices will be essential to ensure that AI benefits all of humanity and fosters a positive societal impact. The future of AI models is brimming with possibilities. From revolutionizing industries to tackling global challenges, these intelligent systems have the potential to shape a brighter future for all. As we continue to explore and develop this technology, it's crucial to do so responsibly and ethically, ensuring that AI serves as a force for good in the world. AI models have become an integral part of our lives, and their impact is only expected to grow in the years to come. By understanding their fundamentals, exploring their diverse applications, and staying informed about future advancements, we can actively participate in shaping the responsible development and deployment of AI for a better future. #### Frequently Asked Questions ###### What is the fundamental difference between AI models and machine learning models? While AI encompasses the broader concept of machines performing tasks requiring human intelligence, machine learning is a subset of AI focused on training models to learn from data. Essentially, all machine learning models are AI models, but not all AI models are machine learning models. ###### How is an AI model built? Building an AI model involves selecting an appropriate architecture, specifying the number and configuration of layers, and defining parameters. It requires a combination of domain expertise, creativity, and a deep understanding of the problem to craft a model that effectively processes and interprets data. ###### What happens during the model training phase? Model training is the phase where the AI model learns from the provided dataset. It refines its parameters, such as weights and biases, through iterative processes, minimizing errors and improving its ability to make accurate predictions. Optimization algorithms and regularization techniques play a crucial role in shaping the model's performance during training. ###### How is an AI model deployed? Model deployment involves integrating the trained model into applications or systems where it can perform tasks. It requires careful consideration of factors like scalability, efficiency, and real-time responsiveness to ensure seamless integration into various environments. ###### Can you provide examples of AI models in real-world applications? Certainly! AI models are widely used in various applications, including natural language processing (NLP) models like GPT-3 for text completion, image recognition models like Convolutional Neural Networks (CNNs), and recommendation systems in e-commerce platforms. ###### What is the future outlook for AI models? The future of AI models holds exciting possibilities, with advancements in architecture, algorithms, and learning capabilities. Integration into diverse industries and collaborations with emerging technologies like quantum computing and augmented reality are expected to reshape the landscape of intelligent systems. ###### How can I get started with building AI models? To get started, explore resources such as TensorFlow and PyTorch for hands-on experience with building and training models. Online courses like 'Machine Learning' by Andrew Ng on Coursera provide a solid foundation in the principles of machine learning. You can also use [Scalifi Ai’s No Code platform](https://www.platform.scalifiai.com/) to build AI Models. ###### Are there ethical considerations in AI model development? Yes, ethical considerations are paramount. Issues like biased algorithms, data privacy concerns, and the potential for misuse highlight the importance of responsible AI model development. Practitioners should prioritize fairness, transparency, and accountability in their work. ###### Can AI models work without large datasets? While large datasets are often beneficial for training robust models, some AI techniques, such as transfer learning, allow models to leverage pre-trained knowledge on large datasets and adapt to specific tasks with smaller datasets. ###### What role do external resources play in understanding AI models? External resources, such as documentation from TensorFlow and PyTorch, online courses, and reputable blogs, are invaluable for deepening understanding, staying updated on advancements, and gaining practical insights into AI model development and applications. #### External References 1. [Deploying ML models in Production](https://stackoverflow.blog/2020/10/12/how-to-put-machine-learning-models-into-production/) 2. [Optimization Algorithms in AI](https://www.d2l.ai/chapter_optimization/) 3. [Kaggle - AI and Machine Learning Community](https://www.kaggle.com/) 4. [TensorFlow Documentation](https://www.tensorflow.org/) 5. [OpenAI - GPT Models](https://openai.com/models/) 6. [Kaggle - AI and Machine Learning Community](https://www.kaggle.com/) Related: AI Ethics Deep Learning Machine Learning AI in Finance AI in Healthcare ##### In this blog [Introduction](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-81) [What is an AI Model?](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-82) [Understanding the Architecture of AI Models](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-83) [The Training Process: Empowering AI Models to Learn](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-88) [Optimization Algorithms: Accelerating the Learning Journey](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-85) [Regularization Techniques: Preventing Overfitting and Enhancing Generalizability](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-89) [A Spectrum of AI Models: Catering to Diverse Needs](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-79) [How to Build and Train an AI Model](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-80) [Real-World Use-Cases of AI Models:](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-84) [The Future of AI Models: A Glimpse into a Transformative Era](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-90) [Conclusion](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-86) [FAQs](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-faqs) [External References](https://www.scalifiai.com/blog/what-is-an-ai-model#content-sub-section-external-resources) * * * hide\_imageHide Images ###### Related Blogs Understanding Natural Language Processing (NLP) Essentials [Read moreeast](https://www.scalifiai.com/blog/what-is-natural-language-processing-nlp) In-Depth Study of Large Language Models (LLM) [Read moreeast](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ###### Explore other usecases AI in Cyber Security to Redefine the Security Posture [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa) Customer Churn Prediction [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) Revenue Prediction [Read Moreeast](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) --- --- ## Scalifi Ai Legal Policy | Feature in Progress Source: https://www.scalifiai.com/feature-in-progress Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. 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[Contact us](https://www.scalifiai.com/contact-us) [Book a demoeast](https://www.scalifiai.com/contact-us) ![feature in progress - scalifi ai low code no code platform](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/feature_In_Progress_738515aa0f.svg) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Scalifi Ai Model Building | AI ML Model No-Code Low-Code Source: https://www.scalifiai.com/ai-ml-model-building Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Empower Your AI Journeyto build AI Model with Advanced, No Code platform Leverage the advanced capabilities of AI to streamline the process and build machine learning (ML) models using different frameworks like tensorflow, scikit learn, pytorch etc, saving time and resources. This intuitive, no-code platform enhances productivity, ensuring your team can swiftly build refined ML models, leading to faster innovation and problem-solving. The right tools are always at your fingertips, to accelerate your journey in AI development. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![AI ML no code model building using tensorflow, scikit learn and pytorch - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_banner_778c5a245f.svg) Take a look at it inaction Transform Your ML Workflow: Inside Look at Scalifi Ai's Revolutionary No-Code Model Building! - YouTube [Photo image of Scalifi Ai](https://www.youtube.com/channel/UCmLSxyUW_VTYGjcxwdt_Ujw?embeds_referring_euri=https%3A%2F%2Fwww.scalifiai.com%2F) Scalifi Ai 20 subscribers [Transform Your ML Workflow: Inside Look at Scalifi Ai's Revolutionary No-Code Model Building!](https://www.youtube.com/watch?v=i_VeLsYS0qM) Scalifi Ai Search Watch later Share Copy link Info Shopping Tap to unmute If playback doesn't begin shortly, try restarting your device. More videos ## More videos You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer. CancelConfirm Share Include playlist An error occurred while retrieving sharing information. Please try again later. [Watch on](https://www.youtube.com/watch?v=i_VeLsYS0qM&embeds_referring_euri=https%3A%2F%2Fwww.scalifiai.com%2F) 0:00 0:00 / 1:36 •Live • ![Construct Ai Model Illustration - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/construct_Ai_Model_503a1f8f54.svg) ### Effortlessly Build Intelligent AI Model Model building service transforms the complex task of model development into a streamlined, intuitive process. With our no-code canvas, users can drag and drop elements to build sophisticated ML models, making the process accessible to all skill levels. This feature saves time and resources, empowering your team to focus on innovation rather than getting bogged down in coding complexities. ![Artificial Intelligence modeling using framework - TensorFlow, PyTorch, Scikit Learn - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/diversify_Ai_Capabilities_81194220f4.svg) ### Diversify Your AI Capabilities Building an AI Model is not just about ease of use; it's about power and flexibility. With support for multiple frameworks like TensorFlow, PyTorch, and Scikit Learn, Model-building empowers you to work on a variety of projects without switching platforms. This multi-framework support enhances productivity, ensuring your team can tackle any AI challenge that comes their way. ![Advance AI error detection - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/error_Precision_07e85138c3.svg) ### Achieve Precision with Advanced Error Detection While building an AI Model, advanced error detection and resolution feature ensures that your AI models are not only built quickly, but built in the right order. By identifying potential errors early in the model development process, the ml no code canvas saves you from future headaches and accelerates your path to deployment, thereby enhancing customer satisfaction through reliable and efficient artificial intelligence solutions. ![Reduce model building time using artificial intelligence (AI) - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/accelerate_Ai_Dev_Cycle_292c9c9a78.svg) ### Accelerate AI Model Building Cycle The Quick Build feature is a game-changer for rapid AI modeling and prototyping. It allows users to quickly validate model designs and identify any errors without the need for extensive hardware resources. This leads to a significant reduction in development time, enabling teams to iterate and refine AI models with unprecedented speed and efficiency. ![Export ML models using no code - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/flexible_Deployment_7d05ac3dfe.svg) ### Flexible Deployment Across Platforms The versatile ML model export options allows you to easily transition from model development to deployment. Whether it’s exporting as framework-specific code or integrating with various data connectors, the no code ML platform ensures that your AI models are ready for deployment in any environment, enhancing your operational flexibility and readiness. ![Build complex AI models using model jobs - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/solution_Ai_Challenge_1dd561c4bd.svg) ### Tailored Solutions for Every AI Challenge Model Job feature provides tailored solutions to build ml models of varying sizes and complexities. From building and testing large-scale models to specialized jobs for resource-intensive tasks, MBS adapts to your specific requirements, ensuring optimal performance and cost-efficiency across all your AI projects. ### What makes Scalifi Ai's model building unique dashboard\_customize #### Diverse Framework Support The AI modeling platform supports a variety of frameworks like TensorFlow, PyTorch, and Scikit-Learn, enabling flexible and adaptable AI model development tailored to your project's needs. draw #### Versatile Model Creation Build diverse AI models using deep learning and traditional machine learning methods which fosters innovation across various AI applications. bug\_report #### Advanced Error Resolution With built-in error detection and resolution, the no code model building platform ensures the accuracy and reliability of your AI models to reduce development time and enhance model quality. code\_off #### Intuitive No-Code Canvas ML model building provides user-friendly, drag-and-drop interface to make AI modeling accessible and efficient, even for those with minimal coding experience. construction #### Quick Build Feature Accelerate your artificial intelligence model development with Quick Build feature to allow for fast AI model prototyping and immediate feedback on model designs. rocket\_launch #### Scalable Model Jobs Machine Learning (ML) modeling platform offers scalable solutions for model jobs of varying sizes and complexities, ensuring efficient resource utilization and optimal performance. ## Model Building ServiceFeatures layers ##### **Flexible Layer Configuration** Model building service provides a rich set of customizable layers, allowing you to tailor the architecture of your AI models to fit specific requirements and complexities. [Learn Moreeast](https://www.scalifiai.com/ai-ml-model-building/features/rapid-prototyping-ai-model) precision\_manufacturing ##### **Automated Model Assembly** Leverage the power of no-code AI to automate the assembly of machine learning models, enhancing efficiency and reducing manual effort. [Learn Moreeast](https://www.scalifiai.com/ai-ml-model-building/features/quick-build-advantage-advanced-analytics) tips\_and\_updates ##### **Instant Model Insights** Gain immediate insights with no code machine learning tool’s real-time analytics feature which enables it to track model performance and make data-driven decisions on the fly. [Learn Moreeast](https://www.scalifiai.com/ai-ml-model-building/features/quick-build-advantage-advanced-analytics) auto\_fix\_high ##### **Smart Resource Allocation** The AI modeling tool intelligently allocates computational resources based on model complexity and size, ensuring cost-effective and high-performance model building experiences. [Learn Moreeast](https://www.scalifiai.com/ai-ml-model-building/features/quick-build-advantage-advanced-analytics) add\_business ##### **Access to Pre-Built Models** Utilize Scalifi Ai's Marketplace to access a variety of pre-built models, accelerating your project’s time-to-market and fostering collaborative development. [Learn Moreeast](https://www.scalifiai.com/feature-in-progress) work\_history ##### **Efficient Model Training Scheduling** No code model training allows for advanced scheduling of model jobs which enables efficient management of resources and timing for training and testing, leading to optimized model development cycles. [Learn Moreeast](https://www.scalifiai.com/ai-ml-model-building/features/efficient-ai-modeling-jobs) #### Frequently Asked Questions ![frequently asked questions](https://www.scalifiai.com/_next/static/media/faqCircle.3d68e398.svg) ###### What is an AI Modeling Service? The AI Model Building Service is a revolutionary no-code platform designed for efficient and accessible AI model development. By simplifying complex processes involved in machine learning, the no-code machine learning opens the door to advanced AI for a broad audience, from seasoned data scientists to AI novices. Its intuitive interface and powerful tools enable quick AI model building and testing, making it a cornerstone for innovative AI/ML solutions. ###### Who can benefit from using No-Code AI Modeling tools? AI Model is a versatile tool beneficial for a wide array of users, including data scientists, AI practitioners, tech enthusiasts, and beginners in AI. It's especially useful for professionals seeking to streamline model building without deep programming knowledge, educational institutions teaching AI concepts, and businesses aiming to integrate AI solutions without a steep learning curve. ###### What frameworks does no-code machine learning (ML) platform support? The no-code ML platform stands out for its compatibility with leading AI frameworks, such as TensorFlow, PyTorch, and Scikit Learn. This multi-framework support caters to diverse project requirements, enabling users to work on a broad spectrum of artificial intelligence projects, from simple machine learning tasks to complex deep learning algorithms, under one unified platform. ###### How does no-code machine learning simplify AI modeling? - **No-Code Canvas:** AI modeling features a user-friendly no-code canvas, allowing for the easy construction of machine learning models. This intuitive interface facilitates drag-and-drop model building, eliminating the complexity of traditional coding. - **Error Detection and Mitigation:** Advanced error detection and mitigation capabilities within the ML no-code model build ensure a streamlined, error-free model development process. This feature significantly reduces the time spent troubleshooting and refining models. - **Quick Build Feature:** The Quick Build feature in no-code AI/ML platform accelerates the model prototyping process. It provides rapid feedback, enabling swift iteration and refinement of models, thereby enhancing the overall speed and efficiency of artificial intelligence model building. ###### Can I use the ML no-code model building platform for deep learning projects? Yes, the ML no-code modeling platform is adept at handling both deep learning and traditional machine learning projects. It provides a versatile environment where users can experiment with various model architectures, including neural networks and more, making it a go-to tool for cutting-edge deep learning applications and research. ###### What are Model Jobs in ML model building? Model Jobs in machine learning model building represent a core feature, designed to handle a variety of specific tasks within the AI model development process. These jobs cater to distinct aspects of model building, offering tailored solutions for diverse project needs. The first aspect of Model Jobs involves various deployment options. Users can choose from a range of deployment scenarios, including cloud-based environments, private virtual machines, or shared resources. This flexibility allows for optimal resource allocation based on the model's requirements and the user's preferences. In addition to deployment flexibility, ML Model Jobs also return valuable statistical information about the model. This includes detailed insights into model performance, parameter efficiency, and other key metrics. These statistics are crucial for understanding the model's behavior and making informed decisions to enhance its effectiveness and efficiency. ###### How does the no-code AI ensure the accuracy of model building? The no-code AI model building prioritizes model accuracy through its advanced error detection capabilities. By identifying and resolving potential issues early in the development process, it ensures the creation of reliable and efficient AI models. This proactive approach to error management not only enhances model quality but also streamlines the development cycle. ###### Is the no-code artificial intelligence (AI) suitable for large-scale AI projects? The no-code AI is adept at handling large-scale artificial intelligence projects with its array of specialized Model Jobs, designed for various project scales and complexities. The platform offers diverse virtual machine (VM) options, such as shared, private, or personal cloud VMs, catering to specific requirements of substantial AI tasks. This flexibility ensures scalable and efficient performance for expansive projects. Moreover, the no-code AI platform provides detailed statistical feedback on model performance, offering valuable insights for optimizing large-scale models. This data is instrumental in refining model accuracy and efficiency. Additionally, the versatility extends to its model export capabilities, allowing users to export AI/ML models in multiple formats for seamless integration across different platforms. This feature is particularly beneficial for large-scale projects that require adaptability and robustness in diverse application environments. ###### How does no-code ML model building handle data integration? ML modeling excels in data integration, offering seamless connectivity with various data sources and platforms. This integration ensures a smooth data flow essential for training and refining AI models, making MBS a highly adaptable and efficient tool for organizations looking to integrate artificial intelligence into their existing tech ecosystems. ###### Can I prototype AI/ML models quickly with the no-code platform? Yes, the Quick Build feature of the artificial intelligence no-code platform is a standout for rapid AI/ML model prototyping. It enables users to quickly test and iterate model designs, providing immediate feedback. This accelerates the development process, allowing for swift adjustments and enhancements, crucial in fast-paced AI development environments. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Unified Model Registry Across Frameworks | Scalifi Ai Source: https://www.scalifiai.com/model-catalog/features/unified-model-registry Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Unified Model Registry AcrossFrameworks Use a centralized library to store and manage your AI models built and trained using different frameworks like TensorFlow, PyTorch, scikit-learn, etc. This unified approach facilitates collaboration, streamlines model updates, and simplifies the maintenance and deployment processes, leading to increased efficiency and reduced time to market for AI solutions. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Model Catalog Unified Registry - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/model_catalog_unified_registry_scalifi_ai_ec34ff3fce.svg) ![easy-collaboration-model-catalog-service.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/easy_collaboration_model_catalog_service_2acd35cf69.svg) ##### Easy Collaboration Make it easier for data scientists, engineers, and other stakeholders to collaborate and work with machine learning models using a central model library regardless of the framework used. ![streamlined-model-updates-model-catalog-service.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/streamlined_model_updates_model_catalog_service_8ffee34c99.svg) ##### Streamlined Model Updates Update metadata, tags, manage versions and its variations using a flexible model update flow at any given point in time. ![integrations-and-scalability-model-catalog-service.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/integrations_and_scalability_model_catalog_service_a9aa9cca91.svg) ##### Integrations and Scalability Integrate different workflows like deployment pipelines and CI/CD systems to seamlessly deploy the master AI model into production. This also offers high availability and scalability to handle and deploy large volumes models and associated metadata. ![Compatible Across Platforms Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/compatible_across_platforms_model_catalog_service_44dae0eb60.svg) ### Compatibility Across Frameworks Create models using various machine learning frameworks like TensorFlow, PyTorch, scikit-learn, etc, enabling interoperability and flexibility in model development, management and deployment. This ensures flexibility in choosing the most suitable framework for a specific task without requiring model re-development, saving time and resources during deployment. Along with this, it also involves documenting the frameworks a model is compatible with, along with any specific versions of dependencies. ![Simplified Maintenance And Deployment Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/simplified_maintenance_and_deployment_model_catalog_service_d0a7009a08.svg) ### Simplified Maintenance and Deployment Process The centralized platform helps in the maintenance and deployment lifecycle of a model. Also use the built-in features to verify the model before the production release. By storing metadata and automating workflows, it reduces manual tasks and ensures consistent, efficient transitions from development to production. This helps the team to deploy models faster and with fewer errors and reduces development time and allows data scientists to focus on higher-level tasks. ![Improved Reusability And Metadata Management Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/improved_reusability_and_metadata_management_model_catalog_service_f9f6dc86db.svg) ### Improved Re-usability and Metadata Management Easily reuse the model built on various frameworks to reduce redundancy and accelerate development. Store and manage metadata about each model, such as its versions, variations and its configuration, tags etc. This metadata is essential for understanding and using models effectively. This also fosters better collaboration and reduces redundancy by ensuring models are documented comprehensively and can be effectively reused across different projects. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Model Design | Model Building Guide Source: https://www.scalifiai.com/docs/model-building/model-design Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) # Model Designs Scalifi Ai's Model Building Service (MBS) will help to streamline the process of constructing machine learning models, saving time and resources. With MBS, you will get the right tools that are always at your fingertips to effortlessly construct advanced AI model designs. Allowed operations that users can perform on the platform are: 1. Create Design 2. Build Design 3. What is Advance Node Configuration? 4. Delete Design ## Create Design 01. Proceed to Model Designs page by selecting **Model Building** from parent dashboard or from quick shift dropdown from header ![parent-dashboard-model-building.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/parent_dashboard_model_building_0d3a082396.svg) 03. Click on the **Create New Design** button. ![mbs-create-new-design.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_create_new_design_df812ecd28.svg) 05. Enter the required data like Model Name, Description. Choose the desired framework and click on Create Design. ![mbs-create-design-framework.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_create_design_framework_46c619a7a0.svg) 07. You will be redirected to a canvas page where you will see the chosen framework nodes on the left side. 08. Now, simply drag-and-drop the nodes onto the canvas, enter the node configuration and connect the nodes as per the model design requirements. 09. Use **Save Design** option, to save the model design once you are done with the configuration. To build and save the design at once, use the **Build & Save** option. ![mbs-model-design-save-and-build.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_model_design_save_and_build_da62e6873d.svg) 11. Along with the **Save**, the following options are available: **Option** **Description** Export This is used to export model design as code with multiple configurations including jupyter notebook and python script. Build Model This option is used to only build model design (with full framework checks) and see if there are any configuration or framework specific errors. This utilizes greater resources and time. Model building without job is restricted to specific resource limits, for large model designs use **Model Build Job**. Quick Build This option is used to build model design but without using excessive resources and time, if there are any errors it will be displayed on the canvas, if not model statistics will be returned to quick build results. Submit Build Job This option is used for large models that require more resources and time. If there are any errors in model configuration, it will be displayed on build job page. ![mbs-model-design-quick-build.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_model_design_quick_build_721c2e6b78.svg) ## Build Design - Once the model design flow is ready, you can build it to validate it and identify the errors using Build Model. - There are multiple ways in which you can build the model design. 1. **Quick build**: This helps to refine AI models with unprecedented speed, efficiency and quickly validate model designs and identify any errors without the need for extensive hardware resources and in a lesser amount of time. If the model design is built successfully it also returns model statistics which can be viewed by pressing the **Quick Build Results** button. 2. **Build**: Using the normal build option, you can validate the model in depth using framework specific build code which requires higher hardware resources and more time consumption. This option also has a hard limit on size of model design, for larger models please shift to submitting a model build job. ![mbs-quick-build-result.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_quick_build_result_7a1f208aeb.svg) - Click on the Bug icon to get the appropriate error analysis in a dedicated view. ![mbs-build-design-error.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_build_design_error_13e2c8115b.svg) **Note:** The complex models which are heavy in terms of parameters, cannot be built using this feature. Submit a **Model Build Job** for such designs. ## Advance Node Configuration Click on the Advance config of the node and fine tune each layer/node of the model using advanced configuration to a granular level based on different parameters. These parameters vary depending on the layer type. ![mbs-model-design-advance-config.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_model_design_advance_config_b16c0e4dd3.svg) ## Delete Design - There are two ways to delete an existing design. - Proceed to the Model Designs page, select the design you want to delete → go to Actions → Delete ![mbs-delete-model-design.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_delete_model_design_c8c16823ca.svg) - Proceed to the Model Designs page, open the design you want to delete → go to Actions → Delete ![mbs-delete-model-design-from-per-canvas.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/mbs_delete_model_design_from_per_canvas_18f8e42443.svg) **Note:** - You can delete only one design at a time. - Delete is a dependent action. You will receive dependency errors while deleting a design. If any model job is attached to the design, you will have to first delete that job and then only you will be able to delete the design. Was this helpful? sentiment\_very\_satisfiedsentiment\_satisfiedsentiment\_dissatisfiedsentiment\_very\_dissatisfied _This feedback is collected anonymously and will not be linked to any personal data. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details._ Submit [PreviouswestThird Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) [NextModel Jobseast](https://www.scalifiai.com/docs/model-building/model-job) ##### Content [Overview](https://www.scalifiai.com/docs/model-building/model-design#overview) [Create Design](https://www.scalifiai.com/docs/model-building/model-design#content-sub-section-14) [Build Design](https://www.scalifiai.com/docs/model-building/model-design#content-sub-section-15) [Advance Node Configuration](https://www.scalifiai.com/docs/model-building/model-design#content-sub-section-16) [Delete Design](https://www.scalifiai.com/docs/model-building/model-design#content-sub-section-17) * * * hide\_imageHide Images --- --- ## Scalifi Ai Cognis Ai | Multi-LLM Agentic AI for Workflow Automation Source: https://www.scalifiai.com/cognis-ai Launching this October • Multi-LLM Agentic AI Platform # Automate Entire Workflows From Single Prompts An Intelligent Agentic AI Swarm that deletes 500+ boring work steps Get Started for free Gain Early Access 500+ Integrations coming soon 100%\* Hallucination free 1-Tap Setup ### 20+ models ![OpenAI](https://www.scalifiai.com/_next/static/media/open-ai.a053fa43.svg)OpenAI ![Gemini](https://www.scalifiai.com/_next/static/media/gemini.25779060.svg)Gemini ![xAI](https://www.scalifiai.com/_next/static/media/x-ai.4f8989bf.svg)xAI ![Claude](https://www.scalifiai.com/_next/static/media/claude.aedcc286.svg)Claude ![Deepseek](https://www.scalifiai.com/_next/static/media/deepseek.b37557fc.svg)Deepseek ![OpenAI](https://www.scalifiai.com/_next/static/media/open-ai.a053fa43.svg)OpenAI ![Gemini](https://www.scalifiai.com/_next/static/media/gemini.25779060.svg)Gemini ![xAI](https://www.scalifiai.com/_next/static/media/x-ai.4f8989bf.svg)xAI ![Claude](https://www.scalifiai.com/_next/static/media/claude.aedcc286.svg)Claude ![Deepseek](https://www.scalifiai.com/_next/static/media/deepseek.b37557fc.svg)Deepseek 100%\* Hallucination free ## Cognis DynamicObservability™ Gain real-time control over memory, model context, integrations & step tracking for transparent, hallucination-free AI operations. #### Context Summarization + Selection Never lose context with smart and controllable summarization of chat history. #### Persistent Memory View Access complete chat history + integration history data from origin of chat. Edit, keep, remove relevant chat and integration data. #### Step Tracker Use the Dynamic Step Tracker to view the methodology used by Cognis to complete requested tasks! Dynamic Observability - Context Summarization (Generative) [![Context Summarization](https://cdn.arcade.software/cdn-cgi/image/fit=scale-down,format=auto,dpr=2,width=3840/https://image.mux.com/Y39lnQgcldZcr02RzWe3Rlllgrl3xVRp017ehAnhp2M48/thumbnail.png?time=4.936)](https://app.arcade.software/share/EBdLdyaDH8TBLwnC7qe1?embed_referrer=https%3A%2F%2Fwww.scalifiai.com%2F) [**Context Summarization** **Explore how to keep important information within your model's memory on Cognis AI in just a few clicks.**](https://app.arcade.software/share/EBdLdyaDH8TBLwnC7qe1?embed_referrer=https%3A%2F%2Fwww.scalifiai.com%2F) Play reCAPTCHA Recaptcha requires verification. [Privacy](https://www.google.com/intl/en/policies/privacy/) \- [Terms](https://www.google.com/intl/en/policies/terms/) protected by **reCAPTCHA** reCAPTCHA is changing its terms of service. [Take action.](https://google.com/recaptcha/admin/migrate) [Privacy](https://www.google.com/intl/en/policies/privacy/) \- [Terms](https://www.google.com/intl/en/policies/terms/) Try Now Powerful Features ## Everything You Need to Automate YourWorld Discover how Cognis Ai transforms the way you work across every industry and use case. ### Select a Feature Active Now #### Adaptive UI Engine(Active Now) Rich interactive chat interface with direct edit buttons, live previews, and contextual UI components that adapt toyour workflow. 8 live #### Universal Integrations(8 live) Seamlessly connect with Google, Microsoft, Amazon, Salesforce, HubSpot, and 500+ other platforms. Active Now #### Multi-LLM Intelligence(Active Now) Harness the power of multiple AI models working together for optimal results across different tasks and domains. Work in Progress #### Stateful Memory(Work in Progress) Persistent context awareness that learns from your interactions, delivering more accurate responses and eliminating AI inconsistencies across sessions. Work in Progress #### Workflow Automation(Work in Progress) Transform complex multi-step processes into simple prompts. From data analysis to content creation, automate it all. Active Now #### Instant Execution(Active Now) Go from idea to execution in seconds. No coding required, just natural language commands. Active Now #### Team Collaboration(Active Now) Built for individuals and enterprise teams. Scale from personal productivity to organization-wide automation. Active Now #### Enterprise Security(Active Now) Bank-level security with SOC 2 compliance, encrypted data, and granular access controls. ### Interactive Intelligence Rich interactive chat interface with direct edit buttons, live previews, and contextual UI components that adapt toyour workflow. #### Key Capabilities Direct in-Chat Action Buttons Live preview generation Contextual action menus Real-time collaboration tools Smart suggestion panels Get Early Access Adaptive UI EngineUniversal IntegrationsMulti-LLM IntelligenceStateful MemoryWorkflow AutomationInstant ExecutionTeam CollaborationEnterprise Security ### Adaptive UI Engine Rich interactive chat interface with direct edit buttons, live previews, and contextual UI components that adapt toyour workflow. #### Key Capabilities Direct in-Chat Action Buttons Live preview generation Contextual action menus Real-time collaboration tools Smart suggestion panels Get Early Access Click to explore! Adaptive UI Engine ## Beyond Simple Chat Rich Interactive Experience Experience how our Adaptive UI Engine transforms conversations into powerful workflows with contextual controls, live previews, and intelligent interfaces. Adaptive UI Engine - Cognis (Generative Version) [![Experience Cognis' Adaptive UI Engine](https://cdn.arcade.software/cdn-cgi/image/fit=scale-down,format=auto,dpr=2,width=3840/extension-uploads/L3ooHKhD63saWyIvNSaY/image/d0158e55-45b0-438c-9887-57616f467225.png)](https://app.arcade.software/share/L3ooHKhD63saWyIvNSaY?embed_referrer=https%3A%2F%2Fwww.scalifiai.com%2F) [**Experience Cognis' Adaptive UI Engine** **Go from prompt to action in clicks**](https://app.arcade.software/share/L3ooHKhD63saWyIvNSaY?embed_referrer=https%3A%2F%2Fwww.scalifiai.com%2F) Play #### Direct Edit Controls Modify AI-generated content instantly with contextual edit buttons and inline controls. #### Live Previews See real-time previews of generated content with interactive components and data. #### Smart Suggestions Contw-text-aware UI recommendations that adapt to your workflow and preferences. Universal Integrations ## Connect YourEntire Ecosystem Seamlessly integrate with the tools you already use. One AI swarm, infinite possibilities. coming soon ![GitHub](https://www.scalifiai.com/_next/static/media/github.f237c0f3.svg) ### GitHub coming soon ![HubSpot](https://www.scalifiai.com/_next/static/media/hubspot.aa2da904.svg) ### HubSpot ![Google](https://www.scalifiai.com/_next/static/media/google.58e3d63e.svg) ### Google coming soon ![AWS](https://www.scalifiai.com/_next/static/media/aws.b0eda6b0.svg) ### AWS coming soon ![Notion](https://www.scalifiai.com/_next/static/media/notion.6205a61f.svg) ### Notion coming soon ![Microsoft](https://www.scalifiai.com/_next/static/media/microsoft.a7b8240a.svg) ### Microsoft coming soon ![Canva](https://www.scalifiai.com/_next/static/media/canva.cf49e589.svg) ### Canva coming soon ![GitHub](https://www.scalifiai.com/_next/static/media/github.f237c0f3.svg) ### GitHub coming soon ![HubSpot](https://www.scalifiai.com/_next/static/media/hubspot.aa2da904.svg) ### HubSpot ![Google](https://www.scalifiai.com/_next/static/media/google.58e3d63e.svg) ### Google coming soon ![AWS](https://www.scalifiai.com/_next/static/media/aws.b0eda6b0.svg) ### AWS coming soon ![Notion](https://www.scalifiai.com/_next/static/media/notion.6205a61f.svg) ### Notion coming soon ![Microsoft](https://www.scalifiai.com/_next/static/media/microsoft.a7b8240a.svg) ### Microsoft coming soon ![Canva](https://www.scalifiai.com/_next/static/media/canva.cf49e589.svg) ### Canva 500+ Integrations coming soon 100% Granular Access Control 1-tap Setup ## Every Team, Every Workflow See how different teams leverage Cognis Ai to automate their specific workflows and boost productivity. ### Select a Team #### Sales Automate lead qualification, CRM updates, and follow-ups to close deals faster. #### Marketing Intelligently automate comprehensive marketing operations from strategy to execution. #### Analytics & Operations Transform data into insights and automate operational workflows. #### Developers Accelerate development with automated testing, deployment, and documentation. Automate lead search, qualification, CRM updates, follow-ups and more to close deals faster. Cognis Sales AI Lead Pipeline Dashboard Live Qualified Leads 247 +23% today Active Deals 89 $2.4M value Close Rate 67% +12% vs avg Recent AI-Qualified Leads 95 TechCorp Inc. $45K Hot 87 Global Solutions $32K Warm 92 Innovation Labs $67K Hot Live Demo Automate Sales ### Key Automations Streamline your workflow with these powerful automations across all teams #### Sales 6automations ##### Reporting & Forecasting Convert pipeline data and revenue projections into clear briefs, scorecards, and short forecast write-ups Instant ##### Create Communication Drafts Expand notes and meeting points into polished emails, recaps, and thank-you drafts Instant ##### Generate Content Templates Turn client details and sheet fields into ready-to-use proposals, one-pagers, and objection responses Instant ##### Data Presentation Convert raw tables into executive summaries, account briefs, and structured FAQs Instant ##### Pipeline Stage Update Translate deal fields into plain updates, flag stalled deals, and auto-suggest next steps Instant ##### Personalized Outreach Content Generation Generate tailored cold emails, LinkedIn notes, and follow-up sequences from contact data Instant ### Select a Team SalesMarketingAnalytics & OperationsDevelopers Automate lead qualification, CRM updates, and follow-ups to close deals faster. Cognis Sales AI Lead Pipeline Dashboard Live Qualified Leads 247 +23% today Active Deals 89 $2.4M value Close Rate 67% +12% vs avg Recent AI-Qualified Leads 95 TechCorp Inc. $45K Hot 87 Global Solutions $32K Warm 92 Innovation Labs $67K Hot Live Demo Automate Sales ### Key Automations Streamline your workflow with these powerful automations across all teams #### Sales 6automations #### Sales 6automations ##### Reporting & Forecasting Convert pipeline data and revenue projections into clear briefs, scorecards, and short forecast write-ups Instant ##### Create Communication Drafts Expand notes and meeting points into polished emails, recaps, and thank-you drafts Instant ##### Generate Content Templates Turn client details and sheet fields into ready-to-use proposals, one-pagers, and objection responses Instant ##### Data Presentation Convert raw tables into executive summaries, account briefs, and structured FAQs Instant ##### Pipeline Stage Update Translate deal fields into plain updates, flag stalled deals, and auto-suggest next steps Instant ##### Personalized Outreach Content Generation Generate tailored cold emails, LinkedIn notes, and follow-up sequences from contact data Instant ## Change theWay You Work Forever. Launch Cognis Now # Join the Cognis Ai waitlist Be the first to experience Cognis Ai — Scalifi Ai’s upcoming agentic generative AI service. Sign up to our waitlist, and we’ll notify you as soon as we launch. I consent to receiving responses and necessary updates regarding my submissions. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. (Necessary for form submission) I consent to receiving emails from Scalifi Ai, including responses and marketing updates. Opt-out anytime. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. Notify Me at Launch # Join the Cognis Ai waitlist Be the first to experience Cognis Ai — Scalifi Ai’s upcoming agentic generative AI service. Sign up to our waitlist, and we’ll notify you as soon as we launch. I consent to receiving responses and necessary updates regarding my submissions. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. (Necessary for form submission) I consent to receiving emails from Scalifi Ai, including responses and marketing updates. Opt-out anytime. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. Notify Me at Launch # Join the Cognis Ai waitlist Be the first to experience Cognis Ai — Scalifi Ai’s upcoming agentic generative AI service. Sign up to our waitlist, and we’ll notify you as soon as we launch. I consent to receiving responses and necessary updates regarding my submissions. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. (Necessary for form submission) I consent to receiving emails from Scalifi Ai, including responses and marketing updates. Opt-out anytime. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. Notify Me at Launch # Join the Cognis Ai waitlist Be the first to experience Cognis Ai — Scalifi Ai’s upcoming agentic generative AI service. Sign up to our waitlist, and we’ll notify you as soon as we launch. I consent to receiving responses and necessary updates regarding my submissions. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. (Necessary for form submission) I consent to receiving emails from Scalifi Ai, including responses and marketing updates. Opt-out anytime. See our [Privacy Notice](https://www.scalifiai.com/legal/website/privacy-notice) & [Terms and Conditions](https://www.scalifiai.com/legal/website/terms-and-conditions) for details. Notify Me at Launch --- --- ## Secure Deployment: Model Governance and Access Control Source: https://www.scalifiai.com/model-catalog/features/model-governance-and-access-control Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Model Governance and Access Control forSecure Deployment Systematic management and regulation of machine learning models to ensure their reliability, accountability, and security throughout their lifecycle. This encompasses a set of processes, and policies aimed at governing the development, deployment and monitoring of models within an organization's infrastructure. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Model Governance Access Control - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/model_governance_access_control_scalifi_ai_5009e62eb1.svg) ![reduced-risk-of-model-misuse-model-catalog.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/reduced_risk_of_model_misuse_model_catalog_339d569aa8.svg) ##### Reduced Risk of Model Misuse Prevent unauthorized access and deployment, mitigating the risk of biased, inaccurate, or malicious models being used in production. ![improved-model-fairness-and-transparency-scalifi-ai.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/improved_model_fairness_and_transparency_scalifi_ai_01aaa169a3.svg) ##### Improved Model Fairness and Transparency Governance policies promote fairness by encouraging bias detection and mitigation throughout the model lifecycle. Access control ensures only authorized personnel can modify models. ![cost_optimization.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/cost_optimization_413b55ff03.svg) ##### Cost-Effectiveness Efficient access control minimizes the risk of errors or security breaches, potentially reducing operational costs. ![Granular User Permissions Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/granular_user_permissions_model_catalog_service_333bc63574.svg) ### Granular User Permissions Define various granular permissions for each user. This allows for a flexible and secure approach based on user responsibilities. Control who can register new models or create versions of the existing models in the system. Permissions might range from "view only" to "create and edit" models, ensuring only authorized users can introduce new models. With customizable access settings, organizations can confidently manage their resources and achieve a productive research environment. ![Approval Workflows Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/approval_workflows_scalifi_ai_model_catalog_service_2af4caf8cd.svg) ### Approval Workflows Integrate approval workflows into the deployment process. Specific roles might need to approve deployments before they go live, adding an extra layer of control. By integrating approval workflows into the deployment process, organizations can enforce governance, mitigate risks, and maintain control over the models deployed within their infrastructure, ultimately promoting trust, transparency and confidence in the AI ecosystem. ![Deployment Environment Permissions Model Catalog Service - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/deployment_environment_permissions_scalifi_ai_model_catalog_service_543626cfd2.svg) ### Deployment Environment Permissions Define who can deploy models to different environments (e.g., development, testing, production). This restricts unauthorized deployments, ensures models go through proper testing stages and allows an organization to have a controlled model deployment ecosystem. These permissions ensure secure and efficient deployment processes, allowing teams to streamline workflows, mitigate risks, and maintain compliance standards. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Identity & Access Management | Scalifi Ai Docs Source: https://www.scalifiai.com/docs/iam Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) chevron\_left ## Identity and Access Management [User Management](https://www.scalifiai.com/docs/iam/user-management) [Policy Management](https://www.scalifiai.com/docs/iam/policy-management) [Third Party Accounts](https://www.scalifiai.com/docs/iam/third-party-accounts) ## Model Building [Model Designs](https://www.scalifiai.com/docs/model-building/model-design) [Model Jobs](https://www.scalifiai.com/docs/model-building/model-job) ## Model Catalog [Model Management](https://www.scalifiai.com/docs/model-catalog/model-management) [Metadata](https://www.scalifiai.com/docs/model-catalog/metadata) [Model Version](https://www.scalifiai.com/docs/model-catalog/model-version) ## Billing and Usage [Usage](https://www.scalifiai.com/docs/billing-and-usage/usage) [Quota](https://www.scalifiai.com/docs/billing-and-usage/quota) [View Plansopen\_in\_new](https://www.scalifiai.com/contact-us) [Contact Us](https://www.scalifiai.com/contact-us) menu\_open # Identity and Access ManagementDocumentation Hub The vault to explore all the features of Scalifi Ai’s Identity and Access Management. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Scalifi Ai Documentation Hub](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/iam_docs_image_4d46301902.svg) ## Overview Welcome 👋 to the Scalifi Ai’s Identity and Access Management (IAM) Documentation Hub. Our IAM Documentation Hub serves as a comprehensive guide to understanding and implementing robust Identity and Access Management solutions like user management, manage policies, linking a third party account, manage profile and a lot more. ## IAM Docs [manage\_accountsUser Managementeast](https://www.scalifiai.com/docs/iam/user-management) [policyPolicy Managementeast](https://www.scalifiai.com/docs/iam/policy-management) [people\_altThird Party Accountseast](https://www.scalifiai.com/docs/iam/third-party-accounts) --- --- ## AI/ML Cyber Security |AI Cybersecurity Solutions – Scalifi Ai Source: https://www.scalifiai.com/usecase/ai-ml-in-cyber-security-and-mfa Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # AI in Cyber Security to Redefine the Security Posture Real-time Anomaly Detection and Authentication with AI and Multi-factor Authentication for Enhanced Cyber security [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![AI in Cyber Security to Redefine the Security Posture](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/ai_in_cyber_security_and_mfa_b3b2824058.svg) ## Problem Statement ##### Addressing Cyber Security Challenges with AI ![Addressing Cyber Security Challenges with AI](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/cyber_security_1_cb0bb7b61a.svg) A company was facing issues with securing sensitive data and systems against cyber threats. Traditional security measures such as passwords and firewalls are no longer sufficient to protect against sophisticated attacks, and detecting suspicious activities in real-time can be difficult for human analysts. Even if companies implement advanced security features like Multi-Factor Authentication (MFA) or Risk-Based Authentication, they all use rule-based systems. These Rule-based systems are static and generic for all cases. Hence, a lot of anomalies go unnoticed which poses some malicious security threats. To counter these threats and loopholes, the company requires a more dynamic solution combining artificial intelligence models to enhance security measures like Multi-Factor Authentication & Risk-Based Authentication. They wanted to implement a solution capable of analyzing real-time user behavior and access patterns to identify any anomalies or suspicious activity. This data was then utilized to determine whether access should be granted or denied. ## Solution ##### Redefining Cyber Security with Scalifi Ai's AI-Powered User Behavior Analysis ![Redefining Cyber Security with Scalifi Ai's AI-Powered User Behavior Analysis](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/cyber_security_2_ee32b7caa6.svg) Risk factors reduce when the outdated rule-based system is nullified with modern AI models which are dynamic and can easily learn user behavioral patterns & find anomalies. Scalifi Ai’s, AI-powered system uses machine learning algorithms to analyze user behavior and access patterns in real-time. Since AI models are dynamic and can identify hidden patterns and even learn the behavior of different users, they can increase the efficiency of Multi-Factor Authentication and Risk-Based Authentication to provide an enhanced security posture. The Scalifi Ai’s AI engines can be integrated with your Identity Providers (IDPs), firewalls, gateways, etc. to provide better accuracy for determining risk factors for Adaptive authentication. We offer hybrid deployment options where our AI engine runs in your cloud environment so that all the data remains within your VPC or Virtual Private Cloud to ensure the highest level of privacy. Even the entire training & retraining pipelines of our AI engines or AI models can be easily done in your cloud environment without any human intervention. ## Benefits ###### lock\_personEradicate the Loopholes of Risk-Based Authentication The AI-powered system offers real-time analysis of user behavior and access patterns which is not possible in the case of rule-based systems traditionally used in risk-based & multi-factor authentication. AI models when integrated with risk-based authentication enable quick detection of anomalies and suspicious activities which makes the security posture more effective. ###### sync\_lockReal-Time Dynamic Protection AI models can be trained periodically with updated user data and they can detect minute patterns in user behavior. As user behavior can be prone to changes with time, so does the security threats increase if you are using the same set of rules to determine risk, but AI models are periodically trained and you can select how often they need to be trained. This dynamic approach of AI models ensures better threat detection in specific use cases and leaves no margin of error. ###### dashboard\_customizeEasy Integration & Secure Deployment Our AI Engines can be easily integrated with your existing Identity Providers (IDPs) and make your existing security systems like risk-based authentication more effective without any margin of error. We provide multiple deployment models like On-Premise, cloud, and Hybrid. In a hybrid deployment, the AI models are deployed in your Virtual Private Cloud to keep your privacy secure and also, the re-training of AI models happens in your VPC without the need of any human intervention. ###### Related Blogs Natural Language Processing: How Neural Word Embeddings Enable Machines to Understand Text [Read moreeast](https://scalifiai-founder.medium.com/how-do-machines-understand-text-via-natural-language-processing-nlp-41aeb853ef52?source=friends_link&sk=b38399d604862bab7c3b2d12ee601dee) In-Depth Study of Large Language Models (LLM) [Read moreeast](https://www.scalifiai.com/blog/what-is-large-language-model-llm) ###### Explore other usecases Customer Churn Prediction [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-customer-churn-prediction) Credit Card Fraud Detection [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-credit-card-fraud-detection) Revenue Prediction [Read moreeast](https://www.scalifiai.com/usecase/ai-ml-in-revenue-sales-prediction) #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) --- --- ## Quick Build AI | Advanced Analytics Source: https://www.scalifiai.com/ai-ml-model-building/features/quick-build-advantage-advanced-analytics Cognis AiSign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) Sign up to get early access and be a part of the professional community shaping Cognis Ai. [Discover Cognis Ai](https://www.scalifiai.com/cognis-ai) [![scalifi ai logo](https://www.scalifiai.com/_next/image?url=%2FLogo.png&w=96&q=75)Scalifi Ai](https://www.scalifiai.com/) [Products](https://www.scalifiai.com/#products) [Docs](https://www.scalifiai.com/docs) [Blogs](https://www.scalifiai.com/blogs) [Use Cases](https://www.scalifiai.com/usecases) [Pricing](https://www.scalifiai.com/contact-us) searchSearch ctrl+k [Log in](https://www.platform.scalifiai.com/login) [Try for free](https://www.platform.scalifiai.com/register) # Effortless AI Model Analysiswith MBS Experience the future of AI model development with Scalifi Ai's Model Building Service (MBS). Our platform revolutionises the way you interact with and optimise your AI models, offering real-time insights and rapid prototyping capabilities. [Try for free](https://www.platform.scalifiai.com/register) [Book a demoeast](https://www.scalifiai.com/contact-us) ![Effortless AI Model Analysis with MBS - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/MBS_Quick_Build_Advantage_a58975e872.svg) ![productivityIcon.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/productivity_Icon_d62744d92a.svg) ##### Accelerated AI Development MBS rapidly accelerates AI development with instant insights and swift model iteration, enhancing efficiency. ![cost_optimization.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/cost_optimization_413b55ff03.svg) ##### Optimization in Operational Costs MBS's Quick Build feature reduces computational needs, slashing operational costs in AI model development. ![workload_reduction.svg](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/workload_reduction_70ee6d5410.svg) ##### Reduction in Workload MBS streamlines AI creation, minimising manual effort and workload, allowing focus on strategic innovation. ![Rapid Development with Quick Build - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/rapid_Dev_Quick_Build_c8a3e35345.svg) ### Rapid Development with Quick Build MBS’s Quick Build feature is pivotal in accelerating AI model development. It enables swift prototyping and testing, reducing the time from concept to deployment. This rapid iteration process ensures your projects stay agile, responsive, and competitive in the fast-paced world of AI technology. ![Optimise Models with Instant Analytics - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/optimize_Model_Analytics_afd33ffa6f.svg) ### Optimise Models with Instant Analytics MBS's real-time analytics facilitate immediate model optimization. This instant feedback ensures your AI models are fine-tuned for accuracy and effectiveness, significantly enhancing the overall quality and reliability of your AI solutions, which is crucial for tackling complex tasks and meeting evolving project demands. ![Enhanced Productivity and Decision Making - Scalifi Ai](https://scalifiai-cms.nyc3.cdn.digitaloceanspaces.com/enhance_Product_Decision_b5a0f62d88.svg) ### Enhanced Productivity and Decision Making Combining MBS’s real-time analytics with the Quick Build feature results in a powerful toolset for AI development. This integration not only streamlines the workflow but also empowers teams with quick, data-informed decision-making capabilities, thereby enhancing productivity and ensuring your projects consistently meet or exceed their goals. #### Contact Us Fill up the form and our team will get back to you within 24 hrs Submit phone [+91 9999600340](tel:+919999600340) phone [+1 661-441-3174](tel:+16614413174) public [www.scalifiai.com](https://www.scalifiai.com/) email [helpdesk@scalifiai.com](mailto:helpdesk@scalifiai.com) ---