Perplexity
Perplexity measures how uncertain a language model is when predicting a sequence, with lower values indicating better prediction.
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Perplexity measures how uncertain a language model is when predicting a sequence, with lower values indicating better prediction.
Factuality is the degree to which an AI system’s claims are consistent with accurate, verifiable information.