Evaluation & Quality
Perplexity
A score describing how surprising a piece of text is to a language AI.
Example
AI gets a lower score for writing it finds easier to predict.
Why people use it
It measures how expected a passage is to a language AI system.
What you'll hear
“How surprising is this text to the system?”
What this means for you
Compare scores only when the text and scoring setup are compatible.
Can you control it?
No
No direct control. This describes a wider issue, concept or result rather than something you can simply switch on or off in a tool.
Common questions
- Is perplexity here the name of the search product?
- No. This entry concerns the checking score, which is a separate meaning.
- Does low perplexity prove a statement is true?
- No. Familiar or predictable wording can still contain false information.
- Can scores from different word-splitting methods be compared directly?
- Not reliably. Different ways of dividing text can change the scale of the score.