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Related Questions
- What are the key components of an active learning framework for fine-tuning a pre-trained dialogue model?
- How can uncertainty-based sampling methods be used to select the most informative samples for fine-tuning a pre-trained dialogue model?
- What are the benefits of using active learning for fine-tuning a pre-trained dialogue model compared to traditional supervised learning methods?
- Can you explain the concept of 'pool-based' and 'stream-based' active learning and how they can be applied to fine-tuning a pre-trained dialogue model?
- How can the performance of a pre-trained dialogue model be evaluated using active learning to select the most informative samples for fine-tuning?
- What are some common metrics used to evaluate the performance of a pre-trained dialogue model fine-tuned using active learning?
- Can you discuss the trade-offs between exploration and exploitation in active learning for fine-tuning a pre-trained dialogue model?
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