GitHub, also introduced GitHub Models to contribute to its over 100 million developers new opportunities to become AI engineers and use state-of-the-art AI models in their projects.
From Llama 3.1 To GPT-4o and GPT-4o mini, to Phi 3 or Mistral Large 2, through which the developer can get a playground with opportunities to prompt and correct a model parameter for free within the GitHub.
There is an ability to get insight into AI model capabilities by setting up different model parameters and sending the prompts via the interface of the chatbot, or via an interface of SDK. Currently, people using GitHub can sign up for the limited public beta service.
If you like what you see above on the playground, we have designed a path to get the models from here to your developer environment in Codespaces &VS Code.
With the help of several clicks and key presses, the students, amateurs, businessmen, startups and many others can look through the most popular private and open models of Meta, Mistral, Azure Open AI Service, Microsoft, and many others in the new interactive model playground.
Most of us did not learn how to become a developer in a structured course in school or college. In other words, through pride, practicing, playing around, and learning through experiments. The same can be said in the case of AI models today.
From the open-source creation of AI to developing applications with the essence of AI, to fostering the generation of the AI engineer through GitHub Models–GitHub is the creator network for the AI age.
GitHub Copilot was found to be leveling the software development by writing almost 40 to 50 percent of the code in the files where it is enabled. GitHub proposes with Copilot Workspace the idea of millions of beginners, amateurs, or professional developers able to code with purely natural language.