R

LLM

llm_classify() llm_vec_classify()

      Categorize data as one of options given

llm_custom() llm_vec_custom()

      Send a custom prompt to the LLM

llm_extract() llm_vec_extract()

      Extract entities from text

llm_sentiment() llm_vec_sentiment()

      Sentiment analysis

llm_summarize() llm_vec_summarize()

      Summarize text

llm_translate() llm_vec_translate()

      Translates text to a specific language

llm_verify() llm_vec_verify()

      Verify if a statement about the text is true or not

llm_use()

      Specify the model to use

Data

reviews()

      Mini reviews data set

Python

MallFrame

      Extension to Polars that add ability to use an LLM to run batch predictions over a data frame

Name	Description
classify	Classify text into specific categories.
custom	Provide the full prompt that the LLM will process.
extract	Pull a specific label from the text.
sentiment	Use an LLM to run a sentiment analysis
summarize	Summarize the text down to a specific number of words.
translate	Translate text into another language.
use	Define the model, backend, and other options to use to
verify	Check to see if something is true about the text.

LLMVec

       Class that adds ability to use an LLM to run batch predictions

Name	Description
classify	Classify text into specific categories.
custom	Provide the full prompt that the LLM will process.
extract	Pull a specific label from the text.
sentiment	Use an LLM to run a sentiment analysis
summarize	Summarize the text down to a specific number of words.
translate	Translate text into another language.
verify	Check to see if something is true about the text.