Introducing Github Models A New Generation Of Ai Engineers Building On

Fascinated by software development since his childhood in Germany, Thomas Dohmke has built a career building tools to accelerate developer happiness. Previously, Thomas was the Chief Executive Officer of GitHub (2021-2025) where he oversaw the rise of the world’s most widely adopted AI developer tools—including the launches of GitHub Copilot, Copilot Workspace, and GitHub Models. Thomas has also been a celebrated TED speaker and holds a PhD in mechanical engineering from University of Glasgow, UK. Learn how one of GitHub’s fastest-growing open source projects is redefining smart homes without the cloud. Learn how to write effective agents.md files for GitHub Copilot with practical tips, real examples, and templates from analyzing 2,500+ repositories. Finding the perfect gift for your favorite developer is easy with our top tips.

Discover how Python changed developer culture—and see why it keeps evolving. GitHub Models is a suite of developer tools that take you from AI idea to ship, including a model catalog, prompt management, and quantitative evaluations. GitHub Models for organizations and repositories is in public preview and subject to change. GitHub Models is a workspace lowering the barrier to enterprise-grade AI adoption. It helps you move beyond isolated experimentation by embedding AI development directly into familiar GitHub workflows. GitHub Models provides tools to test large language models (LLMs), refine prompts, evaluate outputs, and make informed decisions based on structured metrics.

To get started, see Optimizing your AI-powered app with Models. GitHub Models offers a set of features to support prompt iteration, evaluation, and integration for AI development. There are a few ways you can start using GitHub Models, depending on your role and needs. Introducing GitHub Models, a new way for the more than 100 million developers who call GitHub home to build with industry-leading AI models directly from their workflow. Build AI applications right where you manage your code. With GitHub Models, now more than 100 million developers can access and experiment with top AI models where their workflow is—directly on GitHub.

From the early days of the home computer, the dominant mode of creation for developers has long been building, customizing, and deploying software with code. Today, in the age of AI, a secondary and equally important mode of creation is rapidly emerging: the ability to leverage machine learning models. Increasingly, developers are building generative AI applications where the full stack contains backend and frontend code plus one or more machine learning models. With GitHub Models, developers can now explore these models on github.com, integrate them into their dev environment in Codespaces and VS Code, and leverage them during CI/CD in Actions – all simply with their... GitHub Models also marks another transformational journey of GitHub. 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...

In the years ahead, we will continue to democratize access to AI technologies to generate a groundswell of one billion developers. By doing so, we will enable 10% of the world’s population to build and advance breakthroughs that will accelerate human progress for all. Software Development Lead | Team Lead | Technical Strategist So I’m curious about only 1 thing: If there’s an exploit|0day|vulnerability that the AI models learned from some code available to them, then that model will generate code with that exploit|0day|vulnerability ? Satya Nadella how does github/microsoft mitigate this kind of problem? Serious talk, no wrong intentions here.

This is an exciting development. I particularly liked the explicit statement, " no prompts or outputs in GitHub Models will be shared with model providers, nor used to train or improve the models." Making them more secure for private... Are there plans to create some GitHub versions of MLOps model tracking tools as well? 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... 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... The rise of the AI engineer with GitHub Models–bringing the power of industry leading large and small language models to GitHub's more than 100 million users directly on GitHub. The software development landscape is evolving with the introduction of GitHub Models, a groundbreaking platform that opens the doors for over 100 million developers to engage with and leverage advanced AI models. Traditionally, developers wrote code to build and deploy software, but now, they can easily integrate machine learning models into their workflows, fostering the rise of "AI engineers." GitHub Models is a platform that provides seamless access to cutting-edge AI models like Llama 3.1, GPT-4o, Phi 3, and Mistral Large 2. Through a built-in playground, developers can test prompts, tweak model parameters, and compare outputs, all within the familiar GitHub environment.

This eliminates the barrier to entry for experimenting with machine learning and generative AI, democratizing access to powerful tools that were once limited to large organizations or specialized teams. Model Playground: The interactive model playground allows developers, students, and hobbyists to explore AI without diving into complex infrastructures. It promotes learning through experimentation, letting users compare models and understand their unique capabilities. Whether it’s low-latency models like Mistral or multimodal GPT-4o, users can explore how each model performs across different use cases, from generating text to working with audio and vision. Integration with Codespaces: GitHub provides an easy transition from experimentation to implementation with Codespaces. Developers can spin up code environments with sample inference code for various frameworks, allowing them to test AI models without worrying about compatibility issues.

Once they’re ready, users can integrate the models directly into their projects, ensuring a smooth transition from prototype to production. We’re so glad you’re here. You can expect all the best TNS content to arrive Monday through Friday to keep you on top of the news and at the top of your game. Check your inbox for a confirmation email where you can adjust your preferences and even join additional groups. Follow TNS on your favorite social media networks. Check out the latest featured and trending stories while you wait for your first TNS newsletter.

Last week, GitHub announced the launch of GitHub Models, a new addition to the existing marketplace, which makes it easy for developers to consume the latest generative AI models. Every developer can be an AI engineer with the right tools and training. From playground to coding with the model in Codespaces to production deployment via Azure, GitHub Models shows developers how simple it can be GitHub, the world’s leading AI-powered developer platform, today announced the launch of GitHub Models, enabling more than 100 million developers to become AI engineers and build with industry-leading AI models. From Llama 3.1, to GPT-4o and GPT-4o mini, to Phi 3 or Mistral Large 2, developers can access each model via a built-in playground that lets them test different prompts and model parameters, for... 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...

Developers can experiment, compare, test, and deploy AI applications right where they manage their source code. In alignment with GitHub and Microsoft’s continued commitment to privacy and security, no prompts or outputs in GitHub Models will be shared with model providers, nor used to train or improve the models.

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