Understanding Series Perplexity: A Key Metric in Language Models
In the world of natural language processing (NLP) and machine learning, perplexity is a commonly used metric to evaluate the performance of language models. While this concept is generally associated with the evaluation of language models in tasks like speech recognition, text generation, and translation, the term “series perplexity” specifically refers to the complexity or …
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