AI-and-ML

We released a new open source byte-pair tokenizer that is faster and more flexible than popular alternatives. The post So many tokens, so little time: Introducing a faster, more flexible byte-pair tokenizer appeared first on The GitHub Blog.

Developers tell us how GitHub Copilot and other AI coding tools are transforming their work and changing how they spend their days. The post How developers spend the time they save thanks to AI coding tools appeared first on The GitHub Blog.

GitHub Next launched the technical preview for GitHub Copilot Workspace in April 2024. Since then, we’ve been listening to the community, learning, and have some tips to share on how to get the most out of it! The post 5 tips and tricks when using GitHub Copilot Workspace appeared first on The GitHub Blog.

Students used GitHub Copilot to decode ancient texts buried in Mount Vesuvius, achieving a groundbreaking historical breakthrough. This is their journey, the technology behind it, and the power of collaboration. The post How students teamed up to decode 2,000-year-old texts using AI appeared first on The GitHub Blog.

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. The post What are AI agents and why do they matter? appeared first on The GitHub Blog.

To enhance your coding experience, AI tools should excel at saving you time with repetitive, administrative tasks, while providing accurate solutions to assist developers. Today, we’re spotlighting three updates designed to increase efficiency and boost developer creativity. The post What’s new with GitHub Copilot: July 2024 appeared first on The GitHub Blog.

Learn how we’re experimenting with open source AI models to systematically incorporate customer feedback to supercharge our product roadmaps. The post How GitHub harnesses AI to transform customer feedback into action appeared first on The GitHub Blog.