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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.
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    Change how you work with GitHub Copilot.
  - LLMs
    Everything developers need to know about LLMs.
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    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
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- Developer skills
  Resources for developers to grow in their skills and careers.
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    Insights and best practices for building apps.
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    Improve how you use GitHub at work.
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    Stay current on what’s new (or new again).
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  Learn how to start building, shipping, and maintaining software with GitHub.
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- Engineering
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  - 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.
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Enterprise software
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    DevOps resources for enterprise engineering teams.
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    How to integrate security into the SDLC.
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    Ensuring your builds stay clean.
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- 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.
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News & insights
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  Keep up with what’s new and notable from inside GitHub.
  - Company news
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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.
  - 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.
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  - Documentation
    Tips for creating and maintaining documentation.
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  - 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
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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

Categories

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
    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.
  - 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
- 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.
  - 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 / Page 2

AI & ML

Explore resources, insights, and technical content about artificial intelligence (AI), generative AI, and machine learning (ML) tailored for developers looking to learn more about this quickly evolving field.

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. Find out how to leverage GitHub’s tools, platforms, and integrations to streamline the development, testing, and use of AI and ML models.

For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.

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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C# or Java? TypeScript or JavaScript? Machine learning based classification of programming languages

To make language detection more robust and maintainable in the long run, we developed a machine learning classifier named OctoLingua based on an Artificial Neural Network (ANN) architecture which can handle language predictions in tricky scenarios.

An illustration of two octocats repairing a robot.

Towards Natural Language Semantic Code Search

Our machine learning scientists have been researching ways to enable the semantic search of code.

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