Explore how LLMs generate text, why they sometimes hallucinate information, and the ethical implications surrounding their incredible capabilities.
Open source generative AI projects are a great way to build new AI-powered features and apps.
GitHub’s design experts share 10 tips and lessons for designing magical user experiences for AI applications and AI coding tools.
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.
We’re launching the GitHub Copilot Trust Center to provide transparency about how GitHub Copilot works and help organizations innovate responsibly with generative AI.
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.
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.
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.
Here’s how, in seven steps, I built my first browser extension with GitHub Copilot—and my three major takeaways about learning and pair programming in the age of AI.
Explore how generative AI coding tools are changing the way developers and companies build software.
GitHub CEO Thomas Dohmke demonstrated the power of GitHub Copilot X live on stage.
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.
Explore how generative AI may soon help enable optimizing some of the foundational components of compliance.