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Related Questions
- What are the key strategies for large language models to adapt to task switching, and how do they optimize resource allocation?
- Can you explain the concept of 'context switching' in large language models, and how does it impact task switching?
- How do large language models handle the trade-off between maintaining contextual information and allocating resources for new tasks?
- What are the implications of task switching on the performance of large language models, and how can they be mitigated?
- How do large language models use attention mechanisms to allocate resources during task switching?
- Can you discuss the role of meta-learning in large language models, and how it enables them to adapt to new tasks and task switching?
- What are the challenges of task switching in large language models, and how can they be addressed through optimization techniques?
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