cmdline_tips
@cmdline_tips
R, Python and Linux Tips for Data Science
ID: 955990943911510016
http://cmdlinetips.com 24-01-2018 02:29:37
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If you want to learn how #LLMs work under the hood or just deepen your understanding, The GenAI Guide by RavinKumar is a great and intuitive resource. Covers transformers, pre-training, fine-tuning, evaluation and a lot more, all with detailed code. ravinkumar.com/GenAiGuidebook…
ggplot2 3.5.0 is on it's way to CRAN 🎉🎉🎉 This is a big one and is in large part the work of Teun van den Brand. The new features will be spread out over several blog posts, starting with this: tidyverse.org/blog/2024/02/g…
A new version of the #rstats probably package is on CRAN. A minor update with a bug fix and under-the-hood changes for the upcoming tune version. But there’s finally a hex logo (thanks to Edgar Ruiz) so we have that going for us. Which is nice. probably.tidymodels.org
Why do Random Forests perform so well off-the-shelf & appear essentially immune to overfitting?!? I’ve found the text-book answer “it’s just variance reduction 🤷🏼♀️” to be a bit too unspecific, so in our new pre-print arxiv.org/abs/2402.01502, Alan Jeffares & I investigate..🕵🏼♀️ 1/n
I'm very excited about the new {tidychatmodels} package by Albert Rapp, which is a tidyverse-style #rstats interface to LLMs like OpenAI, Mistral, and even local models through Ollama Check it out - it'd be great to get some community momentum around this project!
I have finally worked through all of Aki Vehtari - @[email protected] & Gelman's "Active Statistics". Advertised as a resource mainly for stats instructors, I think it's prob just as useful for students and self-learners. The case studies alone would be a worthwhile text. avehtari.github.io/ActiveStatisti…