Introducing GitHub Models: Empowering 100 Million Developers with AI

GitHub is revolutionizing the development landscape by introducing GitHub Models, enabling over 100 million developers to leverage cutting-edge AI models directly on GitHub. This new feature allows developers to build, customize, and deploy software with AI, marking a significant shift in the mode of creation.

Enabling the AI Engineer

From the early days of home computing, developers have primarily focused on coding. Today, AI models are becoming equally crucial. GitHub Models provides easy access to industry-leading models like Llama 3.1, GPT-4o, GPT-4o mini, Phi 3, and Mistral Large 2, allowing developers to integrate AI into their applications seamlessly.

Interactive Model Playground

GitHub Models includes a built-in playground where users can test different prompts and model parameters for free. This interactive environment is perfect for students, hobbyists, startups, and professionals to explore popular models from Meta, Mistral, Azure OpenAI Service, Microsoft, and more.

Seamless Integration with Development Tools

Developers can transition from the playground to their development environment effortlessly. GitHub Models integrates with Codespaces and VS Code, allowing for easy model implementation. For production, Azure AI provides enterprise-grade security, data privacy, and global availability.

Privacy and Security Commitment

GitHub and Microsoft prioritize privacy and security. No prompts or outputs from GitHub Models will be shared with model providers or used to train or improve the models, ensuring user data remains confidential.

Model Diversity and Capabilities

Every software and model is unique. GitHub Models offers a range of options, from low-latency Mistral to GPT-4o for multimodal applications. Advanced scenarios like Retrieval Augmented Generation (RAG) are also supported, providing developers with the flexibility to experiment and innovate.

Future Expansion

GitHub Models is just the beginning. More language, vision, and other models will be added as the platform approaches general availability, expanding the possibilities for developers worldwide.

Experimentation and Deployment

With Codespaces, developers can experiment with model inference code before integrating it into projects. Sample code for various languages and frameworks is readily available, ensuring a smooth transition from experimentation to implementation.

Production Ready

Once ready for production, developers can use GitHub Models to set up prototypes or proofs-of-concept. GitHub Actions and GitHub CLI facilitate prompt evaluations, while Azure AI enables full-scale deployment with enterprise-level support.

Community and Collaboration

GitHub Models enhances the collaborative nature of GitHub, enabling the rise of the AI engineer. With over 100K generative AI projects created on GitHub in the last year, the platform continues to be a hub for innovation and collaboration.

Impact on Software Development

GitHub Copilot has already transformed software production, writing nearly 50% of code in enabled files. GitHub Models extends this capability, allowing developers to code with human language and AI models directly on the platform.

Democratizing AI Access

GitHub is committed to democratizing access to AI technologies, aiming to empower one billion developers and enable 10% of the world's population to contribute to breakthroughs that advance human progress.

Public Beta Launch

Today marks the beginning of the limited public beta for GitHub Models. Developers are invited to sign up and start experimenting with AI models on GitHub. You can sign up for limited public beta now. For more details, please visit their website.