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Related Questions
- What are some common techniques used in knowledge distillation for LLM fine-tuning?
- Can you give an example of knowledge distillation being used to improve the performance of a language model on a specific task?
- How does knowledge distillation help in reducing the size of a pre-trained language model without sacrificing its performance?
- What are some real-world applications of knowledge distillation in NLP?
- How does knowledge distillation improve the interpretability of a language model?
- What are some challenges associated with implementing knowledge distillation in LLM fine-tuning?
- Can you provide a comparison of knowledge distillation with other techniques used for LLM fine-tuning, such as transfer learning and ensemble methods?
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