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    Repost: The Modern R Stack for Production AI

    Stephen Turner发表于 2025-06-03 09:10:00
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    [This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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     Reposted from the original at: https://blog.stephenturner.us/p/r-production-ai

    …

    Python isn’t the only game in town anymore: R can interact with local and cloud LLM APIs, inspect and modify your local R environment and files, implement RAG, computer vision, NLP, evals, & much more.

    There was a time in late 2023 to early 2024 when I and probably many others in the R community felt like R was falling woefully behind Python in tooling for development using AI and LLMs. This is no longer the case. The R community, and Posit in particular, have been on an absolute tear bringing new packages online to take advantage of all the capabilities that LLMs provide. Here are a few that I’ve used and others I’m keeping a close eye on as they mature.

    I recently used the mall package to run a quick sentiment analysis of #Rstats posts on Bluesky:

    Bluesky conversation analysis with local and frontier LLMs with R/Tidyverse

    Bluesky conversation analysis with local and frontier LLMs with R/Tidyverse

    Stephen Turner
    ·
    December 30, 2024
    Read full story

    Functions in the mall package integrate smoothly with piped workflows in dplyr. For example:

    reviews |>
      llm_sentiment(review)
    Find this useful? Buy me a coffee! ☕
    Getting Genetics Done by Stephen Turner is licensed under a Creative Commons Attribution (CC BY) License.
    To leave a comment for the author, please follow the link and comment on their blog: Getting Genetics Done.

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    Continue reading: Repost: The Modern R Stack for Production AI


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