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Related Questions
- What are the common techniques used to prevent catastrophic forgetting in LLMs?
- How do LLMs handle the problem of knowledge drift, where new information becomes outdated over time?
- Can you explain the concept of knowledge graph-based LLMs and how they address the issue of knowledge retention?
- What is the role of meta-learning in LLMs, and how does it help balance learning new information and retaining old knowledge?
- How do LLMs adapt to changing user preferences and interests, and what are the implications for knowledge retention?
- What are the key factors that influence the trade-off between learning new information and retaining old knowledge in LLMs?
- Can you discuss the use of knowledge distillation in LLMs, and how it helps transfer knowledge from one model to another?
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