Perplexity Score
Noun · AI & Machine Learning
Definitions
A language-modeling metric that measures how surprised a model is by observed text, with lower perplexity generally indicating better predictive fit.
In plain English: A number showing how well a language model predicts text.
Example: "The new checkpoint improved perplexity score but not necessarily chat quality."