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Related Questions
- Can knowledge distillation be used to improve the generalizability of large language models to new, unseen tasks?
- How do teacher-student learning frameworks affect the size and computational requirements of large language models for transfer learning?
- What are some challenges and limitations in applying knowledge distillation to large language models for transfer learning?
- Can knowledge distillation be used to transfer knowledge across different language models, or is it primarily model-agnostic?
- How does the choice of teacher and student models impact the effectiveness of knowledge distillation for transfer learning?
- Are there any specific techniques or modifications to traditional knowledge distillation that can improve its transferability in large language models?
- Can knowledge distillation be used in conjunction with other techniques, such as multi-task learning or meta-learning, to further improve transferability in large language models?
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