llm_verify: Verify if a statement about the text is true or not

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

Verify if a statement about the text is true or not

Description

Use a Large Language Model (LLM) to see if something is true or not based the provided text

Usage

llm_verify(
  .data,
  col,
  what,
  yes_no = factor(c(1, 0)),
  pred_name = ".verify",
  additional_prompt = ""
)

llm_vec_verify(
  x,
  what,
  yes_no = factor(c(1, 0)),
  additional_prompt = "",
  preview = FALSE
)

Arguments

.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
what	The statement or question that needs to be verified against the provided text
yes_no	A size 2 vector that specifies the expected output. It is positional. The first item is expected to be value to return if the statement about the provided text is true, and the second if it is not. Defaults to: factor(c(1, 0))
pred_name	A character vector with the name of the new column where the prediction will be placed
additional_prompt	Inserts this text into the prompt sent to the LLM
x	A vector that contains the text to be analyzed
preview	It returns the R call that would have been used to run the prediction. It only returns the first record in x. Defaults to FALSE Applies to vector function only.

Value

llm_verify returns a data.frame or tbl object. llm_vec_verify returns a vector that is the same length as x.

Examples

library(mall)

data("reviews")

llm_use("ollama", "llama3.2", seed = 100, .silent = TRUE)

# By default it will return 1 for 'true', and 0 for 'false',
# the new column will be a factor type
llm_verify(reviews, review, "is the customer happy")

# The yes_no argument can be modified to return a different response
# than 1 or 0. First position will be 'true' and second, 'false'
llm_verify(reviews, review, "is the customer happy", c("y", "n"))

# Number can also be used, this would be in the case that you wish to match
# the output values of existing predictions
llm_verify(reviews, review, "is the customer happy", c(2, 1))

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