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Related Questions
- What are the key characteristics of few-shot learning in dialogue model fine-tuning?
- How does few-shot learning differ from traditional supervised learning in the context of dialogue model fine-tuning?
- What are the benefits of using few-shot learning for fine-tuning dialogue models?
- Can you provide an example of a scenario where few-shot learning is more suitable than traditional supervised learning for dialogue model fine-tuning?
- How does few-shot learning handle out-of-vocabulary words or unseen entities in dialogue model fine-tuning?
- What are the challenges of few-shot learning in dialogue model fine-tuning, and how can they be addressed?
- Can few-shot learning be used for multi-turn dialogue model fine-tuning, and if so, how does it differ from traditional supervised learning?
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