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Related Questions
- What is synaptic pruning in the context of neural networks, and how does it affect the model's performance over time?
- Can you elaborate on the relationship between synaptic pruning and catastrophic forgetting in large language models (LLMs)?
- How do LLMs handle the trade-off between synaptic pruning and catastrophic forgetting, and what are some strategies to mitigate this issue?
- What is the role of synaptic pruning in reducing the model's capacity for learning new tasks, and how does this contribute to catastrophic forgetting?
- Can you provide an example of a scenario where synaptic pruning led to catastrophic forgetting in an LLM, and how it was addressed?
- How do techniques like knowledge distillation and fine-tuning help to alleviate the effects of catastrophic forgetting in LLMs?
- What are some current research directions and challenges in developing LLMs that can effectively balance synaptic pruning and catastrophic forgetting?
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