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Related Questions
- What are the primary goals of prompt optimization in multi-task learning models compared to single-task learning models?
- How do the challenges of domain shifts and concept drift impact prompt engineering for multi-task learning models?
- What are the trade-offs between using domain-specific prompts versus generalizable prompts in multi-task learning models?
- Can you explain the role of prompt engineering in addressing the problem of catastrophic forgetting in multi-task learning models?
- How do multi-task learning models handle out-of-distribution prompts, and what strategies can be employed to improve their robustness?
- What is the impact of task-relatedness on prompt optimization in multi-task learning models, and how can it be measured?
- Are there any specific techniques or tools that can aid in the development of effective prompts for multi-task learning models?
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