AI & ML

Learn how AI agents and agentic AI systems use generative AI models and large language models to autonomously perform tasks on behalf of end users.

To enhance your coding experience, AI tools should excel at saving you time with repetitive, administrative tasks, while providing accurate solutions to assist developers. Today, we’re spotlighting three updates designed to increase efficiency and boost developer creativity.

Learn how we’re experimenting with open source AI models to systematically incorporate customer feedback to supercharge our product roadmaps.

Unstructured data holds valuable information about codebases, organizational best practices, and customer feedback. Here are some ways you can leverage it with RAG, or retrieval-augmented generation.

Here’s how SAST tools combine generative AI with code scanning to help you deliver features faster and keep vulnerabilities out of code.

Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge.

Learn how your organization can customize its LLM-based solution through retrieval augmented generation and fine-tuning.

Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise.

Learn how we’re experimenting with generative AI models to extend GitHub Copilot across the developer lifecycle.

Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.

Explore how LLMs generate text, why they sometimes hallucinate information, and the ethical implications surrounding their incredible capabilities.

Open source generative AI projects are a great way to build new AI-powered features and apps.

The team behind GitHub Copilot shares its lessons for building an LLM app that delivers value to both individuals and enterprise users at scale.

GitHub’s design experts share 10 tips and lessons for designing magical user experiences for AI applications and AI coding tools.

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.