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AI & ML
- AI & ML
  Learn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry.
  - Generative AI
    Learn about and how to build with generative AI.
  - GitHub Copilot
    Change how you work with GitHub Copilot.
  - LLMs
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  - Machine learning
    Machine learning tips, tricks, and best practices.
- How AI code generation works
  Explore the capabilities and benefits of AI code generation and how it can improve your developer experience.
  Learn more
Developer skills
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  - Application development
    Insights and best practices for building apps.
  - Career growth
    Tips & tricks to grow as a professional developer.
  - GitHub
    Improve how you use GitHub at work.
  - GitHub Education
    Learn how to move into your first professional role.
  - Programming languages & frameworks
    Stay current on what’s new (or new again).
- Get started with GitHub documentation
  Learn how to start building, shipping, and maintaining software with GitHub.
  Learn more
Engineering
- Engineering
  Get an inside look at how we’re building the home for all developers.
  - Architecture & optimization
    Discover how we deliver a performant and highly available experience across the GitHub platform.
  - Engineering principles
    Explore best practices for building software at scale with a majority remote team.
  - Infrastructure
    Get a glimpse at the technology underlying the world’s leading AI-powered developer platform.
  - Platform security
    Learn how we build security into everything we do across the developer lifecycle.
  - Scripting & automation
    How GitHub engineers use scripting and automation.
  - User experience
    Find out what goes into making GitHub the home for all developers.
- How we use GitHub to be more productive, collaborative, and secure
  Our engineering and security teams do some incredible work. Let’s take a look at how we use GitHub to be more productive, build collaboratively, and shift security left.
  Learn more
Enterprise software
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  Explore how to write, build, and deploy enterprise software at scale.
  - Automation
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  - CI/CD
    Guides on continuous integration and delivery.
  - Collaboration
    Tips, tools, and tricks to improve developer collaboration.
  - DevOps
    DevOps resources for enterprise engineering teams.
  - DevSecOps
    How to integrate security into the SDLC.
  - Governance & compliance
    Ensuring your builds stay clean.
  - Secure enterprise development
    Locking down the SDLC one step at time.
- How enterprise engineering teams can successfully adopt AI
  Learn how to bring AI to your engineering teams and maximize the value that you get from it.
  Learn more
News & insights
- News & insights
  Keep up with what’s new and notable from inside GitHub.
  - Company news
    An inside look at news and product updates from GitHub.
  - Product
    The latest on GitHub’s platform, products, and tools.
  - Octoverse
    Insights into the state of open source on GitHub.
  - Policy
    The latest policy and regulatory changes in software.
  - Research
    Data-driven insights around the developer ecosystem.
  - Surveys
    What developers and industry leaders say matters most.
  - The library
    Older news and updates from GitHub.
- Unlocking the power of unstructured data with RAG
  Learn how to use retrieval-augmented generation (RAG) to capture more insights.
  Learn more
Open source
- Open source
  Everything open source on GitHub.
  - Documentation
    Tips for creating and maintaining documentation.
  - Gaming
    Open source games on GitHub.
  - Git
    The latest Git updates.
  - Licenses
    Open source licenses, explained.
  - Maintainers
    Spotlighting open source maintainers.
  - Social impact
    How open source is driving positive change.
- An introduction to innersource
  Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.
  Learn more
Security
- Security
  Stay up to date on everything security.
  - Application security
    Application security, explained.
  - Supply chain security
    Demystifying supply chain security.
  - Vulnerability research
    Updates from the GitHub Security Lab.
  - Web application security
    Helpful tips on securing web applications.
- The enterprise guide to AI-powered DevSecOps
  Learn about core challenges in DevSecOps, and how you can start addressing them with AI and automation.
  Learn more

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Home / AI & ML / LLMs

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.

Featured

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.

Flow chart that reads from right to left, showing components of a large language model application and how they all work together.

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.

Latest

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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