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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.
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    Learn how to build with generative AI.
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    Change how you work with GitHub Copilot.
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    Everything developers need to know about LLMs.
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- 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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Engineering
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- 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.
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Enterprise software
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- How enterprise engineering teams can successfully adopt AI
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News & insights
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  Keep up with what’s new and notable from inside GitHub.
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  - Octoverse
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  - Policy
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  - Research
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  - 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.
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Open Source
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- An introduction to innersource
  Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.
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Security
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  - Application security
    Application security, explained.
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    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

Categories

AI & ML
- AI & ML
  Learn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry.
  - Generative AI
    Learn how to build with generative AI.
  - GitHub Copilot
    Change how you work with GitHub Copilot.
  - LLMs
    Everything developers need to know about LLMs.
  - 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
- Developer skills
  Resources for developers to grow in their skills and careers.
  - 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.
  - 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
- Enterprise software
  Explore how to write, build, and deploy enterprise software at scale.
  - Automation
    Automating your way to faster and more secure ships.
  - 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.
- 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.
  - 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.
  - 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
- 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 / Page 2

AI & ML

GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.

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.

How to build an enterprise LLM application: Lessons from GitHub Copilot

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

A guide to designing and shipping AI developer tools

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

An abstract image of the moon representing LLMs.

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.

Inside GitHub: Working with the LLMs behind GitHub Copilot

Developers behind GitHub Copilot discuss what it was like to work with OpenAI’s large language model and how it informed the development of Copilot as we know it today.

How GitHub Copilot is getting better at understanding your code

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.

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.

Responsible AI pair programming with GitHub Copilot

GitHub Copilot boosts developer productivity, but using it responsibly still requires good developer and DevSecOps practices.

GitHub Copilot now has a better AI model and new capabilities

We’re launching new improvements to GitHub Copilot to make it more powerful and more responsive for developers.

Preview: referencing public code in GitHub Copilot

We will begin to introduce several new capabilities to GitHub Copilot in 2023 to continue delivering responsible innovation and true happiness at the keyboard.

GitHub Copilot research recitation

GitHub Copilot: Parrot or Crow? A first look at rote learning in GitHub Copilot suggestions.

How MLOps can drive governance for machine learning: A conversation with Algorithmia

This post features a guest interview with Diego M. Oppenheimer, CEO at Algorithmia Over the past few years, machine learning has grown in adoption within the enterprise. More organizations are…

Using GitHub Actions for MLOps & Data Science

Background Machine Learning Operations (or MLOps) enables Data Scientists to work in a more collaborative fashion, by providing testing, lineage, versioning, and historical information in an automated way. Because the…

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