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AI & ML
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  Learn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry.
  - Generative AI
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  Learn more
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  - Career growth
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  - GitHub
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  - 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
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  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.
  - 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
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  - CI/CD
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  - DevSecOps
    How to integrate security into the SDLC.
  - Governance & compliance
    Ensuring your builds stay clean.
- 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
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  - Product
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  - 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.
  - 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
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  Everything open source on GitHub.
  - Git
    The latest Git updates.
  - Maintainers
    Spotlighting open source maintainers.
  - Social impact
    How open source is driving positive change.
  - Gaming
    Explore open source games on GitHub.
- An introduction to innersource
  Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.
  Learn more
Security
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  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 / Generative AI

Generative AI

Explore in-depth articles and tutorials on generative artificial intelligence (AI) models, such as GANs and transformers, techniques to improve performance with RAG, and practical applications for generative AI in your projects. Just getting started? Check out our guide on generative AI.

Featured

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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.

From prompt to production: Building a landing page with Copilot agent mode

See how I built a developer-focused landing page in under 30 minutes using GitHub Copilot agent mode and Claude 3.5 Sonnet—with just screenshots and prompts.

How to debug code with GitHub Copilot

GitHub Copilot can streamline your debugging process by troubleshooting in your IDE, analyzing pull requests, and more, helping you tackle issues faster and more robustly.

Open source AI is already finding its way into production

Open source AI models are in widespread use, enabling developers around the world to build custom AI solutions and host them where they choose.

Latest

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How we evaluate AI models and LLMs for GitHub Copilot

We share some of the GitHub Copilot team’s experience evaluating AI models, with a focus on our offline evaluations—the tests we run before making any change to our production environment.

How developers spend the time they save thanks to AI coding tools

Developers tell us how GitHub Copilot and other AI coding tools are transforming their work and changing how they spend their days.

What are AI agents and why do they matter?

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.

What is retrieval-augmented generation, and what does it do for generative AI?

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.

How AI code generation works

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

A developer’s guide to prompt engineering and LLMs

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.

How companies are boosting productivity with generative AI

Explore how generative AI coding tools are changing the way developers and companies build software.

How generative AI is changing the way developers work

Rapid advancements in generative AI coding tools like GitHub Copilot are accelerating the next wave of software development. Here’s what you need to know.

What developers need to know about generative AI

Generative AI has been dominating the news lately—but what exactly is it? Here’s what you need to know, and what it means for developers.

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