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Related Questions
- What is meta-learning and how is it related to catastrophic forgetting in large language models?
- How does meta-learning help prevent LLMs from forgetting previous knowledge, and what are its limitations?
- Can you explain the difference between meta-learning and other approaches, such as online learning and transfer learning, in preventing catastrophic forgetting?
- What are the key challenges in applying meta-learning to LLMs, and how can they be addressed?
- How does meta-learning adapt to new tasks and domains, and what are its implications for lifelong learning?
- What are some of the most effective meta-learning algorithms and techniques used in LLMs, and how do they work?
- How does meta-learning impact the performance and scalability of LLMs, and what are the future directions for research in this area?
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