AI & ML

GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.

AI & ML

Responsible AI pair programming with GitHub Copilot

GitHub Copilot boosts developer productivity, but using it responsibly still requires good developer and DevSecOps practices.

AI & ML

GitHub Copilot now has a better AI model and new capabilities

We’re launching new improvements to GitHub Copilot to make it more powerful and more responsive for developers.

AI & ML

Preview: referencing public code in GitHub Copilot

We will begin to introduce several new capabilities to GitHub Copilot in 2023 to continue delivering responsible innovation and true happiness at the keyboard.

AI & ML

GitHub Copilot research recitation

GitHub Copilot: Parrot or Crow? A first look at rote learning in GitHub Copilot suggestions.

AI & ML

How MLOps can drive governance for machine learning: A conversation with Algorithmia

This post features a guest interview with Diego M. Oppenheimer, CEO at Algorithmia Over the past few years, machine learning has grown in adoption within the enterprise. More organizations are…

AI & ML

Using GitHub Actions for MLOps & Data Science

Background Machine Learning Operations (or MLOps) enables Data Scientists to work in a more collaborative fashion, by providing testing, lineage, versioning, and historical information in an automated way. Because the…

AI & ML

C# or Java? TypeScript or JavaScript? Machine learning based classification of programming languages

To make language detection more robust and maintainable in the long run, we developed a machine learning classifier named OctoLingua based on an Artificial Neural Network (ANN) architecture which can handle language predictions in tricky scenarios.