Perplexity AI: Understanding the Language Model Metric
Perplexity AI is a metric used to evaluate the performance of language models.
It measures how well a language model predicts a sample of text.
A lower perplexity score indicates better performance.
Perplexity is commonly used in natural language processing tasks such as speech recognition and machine translation.
Perplexity can help researchers and developers compare different language models and fine-tune their performance.
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