How it works
GitHub stores Git repositories in the cloud. It enables code versioning, pull requests, issues, Actions (CI/CD) and more. For AI, it is where many open source models, frameworks and tools are published and maintained.
The platform offers AI specific features. GitHub Copilot is the AI powered code autocompletion tool integrated into the editor. GitHub Models lets you test AI models directly on the platform. Model repositories on Hugging Face often have a mirror on GitHub.
Developers use GitHub to collaborate on AI projects. Teams share agent code, training pipelines and evaluation scripts. The AI open source community is very active on GitHub.
Practical example
A developer who wants to use an open source model like Llama can clone the official repository on GitHub, read the README for installation instructions and contribute improvements via pull request.
An AI startup can use GitHub to version the backend code, frontend, shared prompt library and training scripts in a monorepo. Pull requests ensure code review before merge.
What it's for
Version code, collaborate as a team, discover and contribute to AI open source projects. For anyone working with AI, GitHub is the main platform to find tools, models and code examples.
Difference between Git and GitHub
Git is the version control system (software). GitHub is the platform that hosts Git repositories in the cloud (service). You can use Git without GitHub (locally or on other services like GitLab or Bitbucket). But GitHub adds collaboration, issues, Actions and the open source community.