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Related Questions
- How can you design prompts that capture task-specific features and reduce overfitting in multi-task learning?
- What are some strategies for handling task distribution shifts in multi-task learning, and how can you incorporate them into prompt design?
- Can you explain the concept of 'prompt hacking' and how it can be used to adapt to task distribution shifts in multi-task learning?
- How can you use meta-learning to design prompts that can adapt to new tasks and task distributions?
- What are some common pitfalls to avoid when designing prompts for multi-task learning, and how can you mitigate their effects?
- Can you discuss the role of task similarity and task hierarchy in designing prompts for multi-task learning, and how they can be used to handle task distribution shifts?
- How can you use transfer learning and few-shot learning to design prompts that can adapt to new tasks and task distributions in multi-task learning?
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