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.
Tag
generative AI
Hard and soft skills for developers coding in the age of AI
While AI revolutionizes software development, it still relies on developers to pilot its use. In this blog, we’ll cover the skills that developers need to have for navigating this new AI-powered coding frontier.
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.
10 unexpected ways to use GitHub Copilot
GitHub Copilot is widely known for its code generation feature. Learn how the AI assistant’s abilities can extend beyond just code generation.
5 ways to make your DevSecOps strategy developer-friendly
Developers care about security, but poorly integrated tools and other factors can cause frustration. Here are five best practices to reduce friction.
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.
Release Radar · Hacktoberfest 2023 Edition
As Hacktoberfest comes to a close, you still have a day or so left to complete and submit your pull requests. If you're struggling to think of projects to contribute…
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.
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.
How to build a GPT-3 App with Nextjs, React, and GitHub Copilot
In this step-by-step tutorial, you will learn how to use GitHub Copilot to build an application with OpenAI’s gpt-3.5-turbo model.
How to responsibly adopt GitHub Copilot with the GitHub Copilot Trust Center
We’re launching the GitHub Copilot Trust Center to provide transparency about how GitHub Copilot works and help organizations innovate responsibly with generative AI.
The economic impact of the AI-powered developer lifecycle and lessons from GitHub Copilot
Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion.
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.