large-language-models

Fine-tuned models empower organizations to receive code suggestions specifically tailored to their coding practices and internal languages. The post Fine-tuned models are now in limited public beta for GitHub Copilot Enterprise appeared first on The GitHub Blog.

The team behind GitHub Copilot shares its lessons for building an LLM app that delivers value to both individuals and enterprise users at scale. The post How to build an enterprise LLM application: Lessons from GitHub Copilot appeared first on The GitHub Blog.

GitHub’s design experts share 10 tips and lessons for designing magical user experiences for AI applications and AI coding tools. The post A guide to designing and shipping AI developer tools appeared first on The GitHub Blog.

Prompt engineering is the art of communicating with a generative AI model. In this article, we’ll cover how we approach prompt engineering at GitHub, and how you can use it to build your own LLM-based application.

With a new Fill-in-the-Middle paradigm, GitHub engineers improved the way GitHub Copilot contextualizes your code. By continuing to develop and test advanced retrieval algorithms, they’re working on making our AI tool even more advanced.