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Related Questions
- What are the key metrics to evaluate the coherence of dialogue in a fine-tuned model?
- Which metrics are used to measure the relevance of generated dialogue in a model?
- Can you explain the difference between coherence and relevance in dialogue generation?
- What are some common metrics for evaluating the quality of dialogue generated by a model?
- How can we use metrics like perplexity and BLEU score to assess dialogue coherence?
- What role do metrics like fluency and grammaticality play in evaluating dialogue relevance?
- Are there any metrics specifically designed to assess the engagement and user experience of generated dialogue?
- How do metrics like ROUGE and METEOR compare in evaluating dialogue coherence and relevance?
- Can you provide examples of metrics used to evaluate dialogue quality in different applications?
- How do model evaluation metrics like ROUGE and METEOR align with human evaluation methods for dialogue quality?
- What are some common pitfalls to avoid when using metrics to evaluate dialogue quality in a fine-tuned model?
- How can we use active learning and human evaluation in conjunction with metrics to optimize dialogue quality?
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