4  Further reading

Here are some courses and guides for actually using the LLM tools listed here

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David Keyes at R for the Rest of Us recently launched “Using AI with R”: a free, self-paced short course for using LLM-based assistants with R. Covers many of the tools and packages mentioned on this site.

Albert Rapp also has an in progress Quarto book “AI with R”, built from his existing blog posts for addressing different tasks using AI tool and not having to work in browser-based chat boxes. This resource includes some very well-written documentation for using mall and ellmer.

Leonardo Collado Torres gave a short course that covered many of the packages and tools used here, and the recording is available on YouTube. The course materials also include useful step-by-step instructions for setting up and using copilot.

Rami Krispin recently shared a brief review of lang in a brief newsletter.

My fellow UQ alum Chris Brown, now at UTAS, shared this recent entry about summarizing key details from a methods section to assist in literature reviews. The example uses tidychatmodels and I particularly like Chris’ advice: “I’d also recommend you manually check results so that you still learn something yourself”.

This post by Nic Crane demonstrates how we can use ellmer and Shiny to build an app that creates posts for different social media platforms.