Package: mall 0.2.0.9000

Edgar Ruiz

mall: 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.

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

mall_0.2.0.9000.tar.gz
mall_0.2.0.9000.zip(r-4.6)mall_0.2.0.9000.zip(r-4.5)
mall_0.2.0.9000.tgz(r-4.6-any)mall_0.2.0.9000.tgz(r-4.5-any)
mall_0.2.0.9000.tar.gz(r-4.6-any)
mall_0.2.0.9000.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mall/json (API)
NEWS

# Install 'mall' in R:

install.packages('mall', repos = c('https://mlverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlverse/mall/issues

Datasets:

reviews - Mini reviews data set

On CRAN:

data-science dplyr llm polars python

7.69 score 119 stars 1 packages 153 scripts 739 downloads 17 exports 34 dependencies

Last updated from:32098bb32d. Checks:9 OK. Indexed: yes.
A new build is currently in progress.

Target	Result	Time
linux-devel-x86_64	OK	136
source / vignettes	OK	170
linux-release-x86_64	OK	136
macos-devel-arm64	OK	83
macos-release-arm64	OK	96
windows-devel	OK	81
windows-release	OK	78
windows-oldrel	OK	74
wasm-release	OK	119

Exports:llm_classify llm_custom llm_extract llm_sentiment llm_summarize llm_translate llm_use llm_vec_classify llm_vec_custom llm_vec_extract llm_vec_sentiment llm_vec_summarize llm_vec_translate llm_vec_verify llm_verify m_backend_prompt m_backend_submit

Dependencies:askpass base64enc cli coro crayon curl dplyr ellmer fastmap fs generics glue httr2 jsonlite later lifecycle magrittr ollamar openssl otel pillar pkgconfig promises R6 rappdirs Rcpp rlang S7 sys tibble tidyselect utf8 vctrs withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Categorize data as one of options given	llm_classify llm_vec_classify
Send a custom prompt to the LLM	llm_custom llm_vec_custom
Extract entities from text	llm_extract llm_vec_extract
Sentiment analysis	llm_sentiment llm_vec_sentiment
Summarize text	llm_summarize llm_vec_summarize
Translates text to a specific language	llm_translate llm_vec_translate
Specify the model to use	llm_use
Verify if a statement about the text is true or not	llm_vec_verify llm_verify
Mini reviews data set	reviews