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Related Questions
- How does the choice of evaluation metric affect the model's ability to understand context and generate coherent text?
- What are the implications of using different evaluation metrics on the model's performance in generating contextually relevant text?
- Can you explain how the choice of evaluation metric influences the model's ability to capture nuances of language and generate high-quality text?
- How does the evaluation metric impact the model's ability to understand the context and generate text that is relevant to the conversation?
- What are the trade-offs between using metrics like perplexity, BLEU, and ROUGE, and how do they impact the model's ability to generate coherent text?
- Can you discuss the role of evaluation metrics in training models to generate text that is contextually relevant and coherent?
- How does the choice of evaluation metric affect the model's ability to generalize to new contexts and generate text that is relevant to unseen topics?
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