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LLMs
In-depth articles and tutorials on leveraging LLMs, including natural language processing, code generation, and data analysis, with insights into training, fine-tuning, and deploying LLMs. Curious how to get started? Check out our guide on architecting LLM-powered applications.
Featured
Automate repository tasks with GitHub Agentic Workflows
Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.
Why AI is pushing developers toward typed languages
AI is settling the “typed vs. untyped” debate by turning type systems into the safety net for code you didn’t write yourself.
Solving the inference problem for open source AI projects with GitHub Models
How using GitHub’s free inference API can make your AI-powered open source software more accessible.
A guide to deciding what AI model to use in GitHub Copilot
What to look for with each model and how to test them in your workflows—with tips, tricks, and pointers.
Latest
What the heck is MCP and why is everyone talking about it?
Everyone’s talking about MCP these days when it comes to large language models (LLMs)—here’s what you need to know.
So many tokens, so little time: Introducing a faster, more flexible byte-pair tokenizer
We released a new open source byte-pair tokenizer that is faster and more flexible than popular alternatives.
Unlocking the power of unstructured data with RAG
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.
How AI enhances static application security testing (SAST)
Here’s how SAST tools combine generative AI with code scanning to help you deliver features faster and keep vulnerabilities out of code.
Customizing and fine-tuning LLMs: What you need to know
Learn how your organization can customize its LLM-based solution through retrieval augmented generation and fine-tuning.
How we’re experimenting with LLMs to evolve GitHub Copilot
Learn how we’re experimenting with generative AI models to extend GitHub Copilot across the developer lifecycle.
The architecture of today’s LLM applications
Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.
Demystifying LLMs: How they can do things they weren’t trained to do
Explore how LLMs generate text, why they sometimes hallucinate information, and the ethical implications surrounding their incredible capabilities.
A developer’s guide to open source LLMs and generative AI
Open source generative AI projects are a great way to build new AI-powered features and apps.
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The GitHub Podcast
Catch up on the GitHub podcast, a show dedicated to the topics, trends, stories and culture in and around the open source developer community on GitHub.