Software
mall is a package for R and Python that runs LLM predictions against a data frame, processing each row of a specified column using a one-shot prompt. It enables batch LLM operations directly within tabular data workflows.
The package integrates LLM calls into familiar data frame operations, making it straightforward to apply tasks like classification, sentiment analysis, or text extraction across an entire column without writing manual loops or API boilerplate. It works row-wise, pairing a pre-determined prompt with each row’s content, so results stay aligned with the source data.
