What are common uses of perplexity in natural language processing?

Perplexity is a key metric in natural language processing (NLP) that measures how well a probability distribution predicts a sample. It is commonly used to evaluate language models, assess their performance, and compare different models. Understanding perplexity helps researchers improve model accuracy and enhance text generation capabilities in various applications.

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