library(mall)
data("reviews")
llm_use("ollama", "llama3.2", seed = 100, .silent = TRUE)
my_prompt <- paste(
"Answer a question.",
"Return only the answer, no explanation",
"Acceptable answers are 'yes', 'no'",
"Answer this about the following text, is this a happy customer?:"
)
reviews |>
llm_custom(review, my_prompt)
#> # A tibble: 3 × 2
#> review .pred
#> <chr> <chr>
#> 1 This has been the best TV I've ever used. Great screen, and sound. Yes
#> 2 I regret buying this laptop. It is too slow and the keyboard is too noi… No
#> 3 Not sure how to feel about my new washing machine. Great color, but har… NoSend a custom prompt to the LLM
llm_custom
Description
Use a Large Language Model (LLM) to process the provided text using the instructions from prompt
Usage
llm_custom(.data, col, prompt = "", pred_name = ".pred", valid_resps = "")
llm_vec_custom(x, prompt = "", valid_resps = NULL) Arguments
| Arguments | Description |
|---|---|
| .data | A data.frame or tbl object that contains the text to be analyzed |
| col | The name of the field to analyze, supports tidy-eval |
| prompt | The prompt to append to each record sent to the LLM |
| pred_name | A character vector with the name of the new column where the prediction will be placed |
| valid_resps | If the response from the LLM is not open, but deterministic, provide the options in a vector. This function will set to NA any response not in the options |
| x | A vector that contains the text to be analyzed |
Value
llm_custom returns a data.frame or tbl object. llm_vec_custom returns a vector that is the same length as x.