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Related Questions
- What are the key differences between knowledge distillation and other transfer learning methods?
- Can knowledge distillation be used to adapt large language models to new domains with limited labeled data?
- How does knowledge distillation address the issue of overfitting in large language models when adapting to new domains?
- What are the common techniques used to optimize the teacher-student framework in knowledge distillation for domain adaptation?
- Can knowledge distillation be applied to multi-task learning and few-shot learning for large language models?
- How does knowledge distillation compare to other methods such as domain adaptation and few-shot learning in terms of performance and computational cost?
- What are the challenges and limitations of applying knowledge distillation to large language models for domain adaptation, and how can they be addressed?
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