Package: mall 0.1.9000
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:
mall_0.1.9000.tar.gz
mall_0.1.9000.zip(r-4.5)mall_0.1.9000.zip(r-4.4)mall_0.1.9000.zip(r-4.3)
mall_0.1.9000.tgz(r-4.4-any)mall_0.1.9000.tgz(r-4.3-any)
mall_0.1.9000.tar.gz(r-4.5-noble)mall_0.1.9000.tar.gz(r-4.4-noble)
mall_0.1.9000.tgz(r-4.4-emscripten)mall_0.1.9000.tgz(r-4.3-emscripten)
mall.pdf |mall.html✨
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
- reviews - Mini reviews data set
data-sciencedplyrllmpolarspython
Last updated 1 months agofrom:9997c100ad. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 08 2025 |
| R-4.5-win | OK | Jan 08 2025 |
| R-4.5-linux | OK | Jan 08 2025 |
| R-4.4-win | OK | Jan 08 2025 |
| R-4.4-mac | OK | Jan 08 2025 |
| R-4.3-win | OK | Jan 08 2025 |
| R-4.3-mac | OK | Jan 08 2025 |
Exports:llm_classifyllm_customllm_extractllm_sentimentllm_summarizellm_translatellm_usellm_vec_classifyllm_vec_customllm_vec_extractllm_vec_sentimentllm_vec_summarizellm_vec_translatellm_vec_verifyllm_verifym_backend_promptm_backend_submit
Dependencies:askpassbase64encclicrayoncurldplyrfansifsgenericsgluehttr2jsonlitelifecyclemagrittrollamaropensslpillarpkgconfigR6rappdirsrlangsystibbletidyselectutf8vctrswithr
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 |
