What is the relationship between perplexity and entropy?

Perplexity and entropy are two fundamental concepts in information theory that measure uncertainty. Entropy quantifies the average amount of information produced by a stochastic source, while perplexity serves as an exponentiation of entropy, representing the effective number of choices or outcomes. Understanding their relationship is crucial for analyzing probabilistic models.

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