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Related Questions
- What are the primary goals of knowledge distillation in LLMs?
- How does knowledge distillation differ from other methods for reducing forgetting in LLMs, such as transfer learning and fine-tuning?
- What are the key challenges in implementing knowledge distillation in LLMs, and how can they be addressed?
- Can you explain the concept of 'dark knowledge' in the context of knowledge distillation?
- How does knowledge distillation impact the performance of LLMs on out-of-distribution data?
- What are some common applications of knowledge distillation in real-world scenarios?
- How does knowledge distillation compare to other methods for adapting LLMs to new tasks or domains?
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