tests/testthat/_snaps/llm-extract.md

In mall: Run Multiple Large Language Model Predictions Against a Table, or Vectors

Extract works

Code
  llm_vec_extract("toaster", labels = "product")
Output
  [[1]]
  [[1]]$role
  [1] "user"

  [[1]]$content
  You are a helpful text extraction engine. Extract the product being referred to on the text. I expect 1 item exactly. No capitalization. No explanations.   The answer is based on the following text:
  {x}

Extract on Ollama works

Code
  llm_extract(reviews_table(), review, "product")
Output
                                                                                review
  1                 This has been the best TV I've ever used. Great screen, and sound.
  2          I regret buying this laptop. It is too slow and the keyboard is too noisy
  3 Not sure how to feel about my new washing machine. Great color, but hard to figure
           .extract
  1              tv
  2          laptop
  3 washing machine

Code
  llm_vec_extract("bob smith, 105 2nd street", c("name", "address"))
Output
  [1] "| bob smith | 105 2nd street |"

mall documentation built on Oct. 24, 2024, 5:09 p.m.