In this post I explore local large language models (LLMs) with R for code assistance, using tools like chores, ensure, gander, and continue in Positron. The post explores R options and keybindings for various tools, adjusting settings to optimize performance. Lastly, I switch to GitHub Copilot for better results, encountering rate limits but finding workarounds to control autocomplete triggers.

Optimize your blog’s SEO and Zenodo metadata with automated summaries using Hugging Face’s text summarization models. Learn how to connect to the Hugging Face API, prepare content, and integrate summaries into your markdown files using R and the httr2 package.