Paraphrase-drift scoring for LLM eval sets: three plain similarity measures and one blended drift score. No model calls, no network, pure base R. R port of evaldrift.
The eval-methodology context comes from PastAGI.
eval_drift("The model refuses the request.",
"The model declines to answer the request.")
# $shingle_jaccard 0.4 $trigram_jaccard 0.5455 $levenshtein_sim 0.6364
# $drift 0.4709
install.packages("evaldrift", repos = c(
"https://scrapertweeter3-prog.r-universe.dev",
"https://cloud.r-project.org"))
Paraphrase-Drift Scoring: benchmark math from the Poket Dev research desk.