GitHub Models: A New Generation of AI Engineers Building on GitHub

For most of us, learning to be a developer didn’t happen on a linear path in the classroom. It took practicing, playing around, and learning through experimentation. The same is true today for AI models. Every model is unique in its capabilities, performance, and cost. Mistral offers low latency, while GPT-4o is excellent at building multimodal applications that might demand audio, vision, and text in real time. Some advanced scenarios might require the integration of different modes, such as an embeddings model for Retrieval Augmented Generation (RAG).

With the suite of models, developers will have all the options they need to stay in the flow, experiment more, and learn faster than ever before. In the new interactive model playground, students, hobbyists, startups, and more can explore the most popular private and open models from Meta, Mistral, Azure OpenAI Service, Microsoft, and others with just a few clicks and keystrokes. Experiment, compare, test, and deploy AI applications right where you manage your source code.

From the creation of AI through open source collaboration, to the creation of software with the power of AI, to enabling the rise of the AI engineer with GitHub Models – GitHub is the creator network for the age of AI.