dist_mat_llm {NaileR} | R Documentation |
Compute a distance matrix between randomly-generated responses to an LLM prompt.
dist_mat_llm(ppt, n, per_miss = 0)
ppt |
an LLM prompt. |
n |
the number of responses to be generated. |
per_miss |
the proportion of missing values in the final matrix (between 0 and 1; 0 by default). |
The final percentage of missing values might differ from the per_miss parameter value; rather than a percentage of values being turned to NA, each value has a per_miss probability of being NA.
A list containing:
a list of the LLM results for each iteration;
a distance matrix.
## Not run:
# Processing time is often longer than ten seconds
# because the function uses a large language model.
data(iris)
intro_iris <- "A study measured various parts of iris flowers
from 3 different species: setosa, versicolor and virginica.
I will give you the results from this study.
You will have to identify what sets these flowers apart."
intro_iris <- gsub('\n', ' ', intro_iris) |>
stringr::str_squish()
req_iris <- "Please explain what makes each species distinct.
Also, tell me which species has the biggest flowers,
and which species has the smallest."
req_iris <- gsub('\n', ' ', req_iris) |>
stringr::str_squish()
res_iris <- nail_catdes(iris, num.var = 5,
introduction = intro_iris, request = req_iris)
dist_mat_llm(res_iris$prompt, n = 5, per_miss = 0)
## End(Not run)