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Related Questions
- What metrics are commonly used to assess the coherence and relevance of generated dialogue in a fine-tuned model?
- Can you explain the difference between relevance and usefulness in the context of generated dialogue, and how do they impact the overall performance of a fine-tuned model?
- How do you determine the quality of dialogue generated by a fine-tuned model, and what factors influence this evaluation?
- What are some common pitfalls to avoid when evaluating the relevance and usefulness of generated dialogue in a fine-tuned model?
- How can you incorporate human evaluation and feedback into the process of assessing the relevance and usefulness of generated dialogue?
- What are some best practices for fine-tuning a model to generate dialogue that is both relevant and useful?
- Can you discuss the role of context and domain knowledge in evaluating the relevance and usefulness of generated dialogue in a fine-tuned model?
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