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Related Questions
- What are some strategies for updating LLMs to adapt to changing language patterns and user behaviors over time?
- How can LLMs be designed to detect and respond to shifts in user intent and context?
- What techniques can be used to improve the robustness of LLMs against semantic drift caused by changes in language usage or cultural context?
- Can you explain the concept of 'concept drift' in the context of LLMs and how it can be addressed?
- How can LLMs be trained to recognize and adapt to new entities, relationships, or concepts that emerge over time?
- What role can active learning play in helping LLMs to handle semantic drift more effectively?
- How can LLMs be designed to incorporate human feedback and correction to improve their handling of semantic drift?
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