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Related Questions
- What are some techniques for preventing catastrophic forgetting in large language models?
- How can we adapt large language models to new domains while minimizing the loss of knowledge in the original domain?
- What strategies can be employed to maintain the performance of large language models on tasks they were previously trained on?
- Can you discuss the role of regularization techniques in mitigating catastrophic forgetting in large language models?
- How can we balance the trade-off between adapting to new domains and preserving knowledge in large language models?
- What are some approaches to incremental learning that can help mitigate catastrophic forgetting in large language models?
- Can you explain how to use knowledge distillation to adapt large language models to new domains while minimizing catastrophic forgetting?
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