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Related Questions
- What are some common evaluation metrics for language models, and how do they vary across different tasks?
- How do accuracy, perplexity, and BLEU score differ in evaluating language models on specific tasks?
- What is the difference between F1 score and accuracy in evaluating language models for text classification tasks?
- How does perplexity measure the goodness of fit of a language model to a given dataset?
- What are some metrics used to evaluate the fluency and coherence of language models, such as in text summarization tasks?
- How do metrics like precision, recall, and F1 score apply to named entity recognition tasks?
- What is the significance of using metrics like ROUGE score in evaluating language models for text summarization tasks?
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