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Related Questions
- What are the primary causes of catastrophic forgetting in fine-tuning large language models on specific domains?
- How can catastrophic forgetting be addressed through techniques such as knowledge distillation and elastic weight consolidation?
- What is the relationship between catastrophic forgetting and the concept of task interference in machine learning?
- How do domain adaptation methods, such as transfer learning and multi-task learning, impact the occurrence of catastrophic forgetting?
- Can catastrophic forgetting be mitigated by incorporating additional training data or adjusting the learning rate during fine-tuning?
- What is the impact of catastrophic forgetting on the performance of large language models in real-world applications, such as natural language processing and question-answering?
- How can researchers and developers design more robust large language models that are less prone to catastrophic forgetting?
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