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Comment by gardnr

6 months ago

Perplexity: a metric, often used to evaluate LLMs, is derived from the negative average logprob of the tokens in a test set. Lower perplexity indicates that the model assigns higher probabilities to the observed tokens, reflecting better language modeling.

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