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Related Questions
- What is the primary goal of knowledge distillation in LLMs, and how does it differ from other techniques like elastic weight consolidation?
- How does knowledge distillation help prevent catastrophic forgetting in LLMs, and what are its limitations compared to other methods?
- Can you explain the concept of elastic weight consolidation and how it compares to knowledge distillation in terms of preventing forgetting in LLMs?
- What are the key differences between knowledge distillation and other techniques like synaptic intelligence and gradient episodic memory in preventing forgetting in LLMs?
- How does knowledge distillation handle the problem of forgetting in LLMs when new data is introduced, and what are its advantages over other methods?
- What is the relationship between knowledge distillation and other techniques like transfer learning and fine-tuning in preventing forgetting in LLMs?
- Can you compare the computational efficiency of knowledge distillation with other techniques like elastic weight consolidation and synaptic intelligence in preventing forgetting in LLMs?
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