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Related Questions
- What are the primary challenges in implementing knowledge distillation in large language model (LLM) fine-tuning?
- How does knowledge distillation impact the performance of the student model in LLM fine-tuning?
- What are the limitations of knowledge distillation in terms of retaining complex relationships and nuances in the original model?
- How does the choice of temperature and entropy regularization affect the distillation process in LLM fine-tuning?
- Can knowledge distillation be used to improve the interpretability of LLMs, and if so, how?
- What are the implications of knowledge distillation on the scalability and efficiency of LLM fine-tuning?
- How does knowledge distillation interact with other LLM fine-tuning techniques, such as transfer learning and multi-task learning?
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