Run Multiple Large Language Model Predictions Against a Table, or Vectors

Run multiple 'Large Language Model' predictions against a table. The predictions run row-wise over a specified column. It works using a one-shot prompt, along with the current row's content. The prompt that is used will depend of the type of analysis needed.


mall

R-CMD-check Codecov testcoverage Lifecycle:experimental CRAN status

Run multiple LLM predictions against a data frame. The predictions are processed row-wise over a specified column. It works using a pre-determined one-shot prompt, along with the current row’s content. mall is now available in both R and Python.

To find out how to install and use, or just to learn more about it, please visit the official website: https://mlverse.github.io/mall/

Reference manual

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install.packages("mall")

0.2.0 by Edgar Ruiz, a year ago


https://mlverse.github.io/mall/


Browse source code at https://github.com/cran/mall


Authors: Edgar Ruiz [aut, cre] , Posit Software , PBC [cph, fnd]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports cli, dplyr, ellmer, fs, glue, jsonlite, ollamar, rlang

Suggests dbplyr, testthat, withr


Imported by lang.


See at CRAN