GNU R
Hey lemmy rstats, I’m excited to share tidyllm, an R package I wrote that makes it easy to work with large language models like ChatGPT, Claude or local models via ollama directly in your R workflow. Use it for tasks like document summarization, text classification, or structured data extraction with built-in support for JSON, PDF processing, and multimodal models. Check out its [package page](https://edubruell.github.io/tidyllm/) or the the two use-case articles on the tidyllm website about [classifying text ](https://edubruell.github.io/tidyllm/articles/tidyllm_classifiers.html) or [question answering with pdf dcouments](https://edubruell.github.io/tidyllm/articles/tidyllm-pdfquestions.html).
Ich habe 80 Aufgaben (mit unteraufgaben) samt Lösungen dem Buch hinzugefügt.
cran.r-project.org
"probs" package brings back "prob", which has been archived a few years ago.. So, if you want to toss a coin, roll a dice or computer probability spaces, give it a shot.
events.linuxfoundation.org
8 – 11 July 2024 Salzburg, Austria + Virtual #useR2024
For all those native german speaking guys, check out the free R Manual at https://www.produnis.de/R/ Das Buch versteht sich als einstiegsfreundliche Anleitung für Anfänger.