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https://github.com/mlverse/mall

Run multiple LLM predictions against a data frame with R and Python
https://github.com/mlverse/mall

data-science dplyr llm polars python r

Last synced: 11 days ago
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Run multiple LLM predictions against a data frame with R and Python

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# mall

[![R check](https://github.com/mlverse/mall/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/mlverse/mall/actions/workflows/R-CMD-check.yaml)
[![Python tests](https://github.com/mlverse/mall/actions/workflows/python-tests.yaml/badge.svg)](https://github.com/mlverse/mall/actions/workflows/python-tests.yaml)
[![R package coverage](https://codecov.io/gh/mlverse/mall/branch/main/graph/badge.svg)](https://app.codecov.io/gh/mlverse/mall?branch=main)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)

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/