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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.

What are common uses of perplexity in natural language processing?

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What are common uses of perplexity in natural language processing?

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