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GitHub Models: Easy Experimentation and Deployment of AI Models

General Introduction

GitHub Models is a new platform from GitHub designed to help developers more easily use and experiment with a wide range of AI models. The platform provides access to a wide range of popular models, including Meta's Llama 3.1, OpenAI's GPT-4o and GPT-4o mini, Microsoft's Phi 3, Mistral AI's Mistral Large 2 and more. Users can test different hints and model parameters through the built-in Playground for Models, and integrate models directly into development environments such as GitHub Codespaces and Visual Studio Code. In addition, GitHub Models offers Azure AI's enterprise-grade security and data privacy protections to ensure the safety and reliability of models.

 


GitHub Models: Easy Experimentation and Deployment of AI Models-1

 

GitHub Models: Easy Experimentation and Deployment of AI Models-1

 

Function List

  • Provides a built-in modeling playground
  • Support for integrating models into GitHub Codespaces and Visual Studio Code
  • Provides access to a wide range of popular AI models
  • Delivering enterprise-grade security and data privacy with Azure AI
  • Support for prototyping and experimentation
  • Educational institutions can be used for teaching

 

 

Using Help

The GitHub Models platform is very easy to use, here are the detailed steps and procedures:

  1. Registration and Login::
    • Visit the GitHub Models website (https://gh.io/models).
    • Use your GitHub account to register and login.
  2. Visit to the model test site (Playground)::
    • After logging in, you will be taken to the Model Proving Ground page.
    • In the Proving Ground, users can select different AI models to test.
    • Enter the prompt and adjust the model parameters, and click the "Run" button to test.
  3. Integration into development environments::
    • If you are satisfied with the test results, you can integrate the model into GitHub Codespaces or Visual Studio Code.
    • On the Model Testbed page, click the "Integrate to Development Environment" button and follow the prompts.
  4. Deployment to production environments::
    • After completing development, the model can be deployed to a production environment.
    • GitHub Models provides integration with Azure AI to ensure model security and reliability.
    • In the development environment, select "Deploy to Azure AI" and follow the prompts.
  5. Using Help and Support::
    • If you encounter problems during use, you can visit the GitHub Models help documentation (https://docs.github.com/zh/github-models).
    • You can also contact the GitHub support team for help.
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