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Related Questions
- Can you elaborate on the role of gradient-based methods in prompt optimization for multi-task learning?
- How do you think domain adaptation via prompt optimization can help improve generalizability to unseen data?
- Are there any existing techniques that leverage prompt optimization to address the issue of catastrophic forgetting in multi-task learning?
- What are the key considerations when designing effective prompts for domain adaptation using prompt optimization?
- Can you discuss the relationship between prompt optimization and meta-learning in the context of multi-task learning?
- Are there any notable applications of prompt optimization in real-world scenarios, particularly in multi-task learning scenarios?
- How do you think prompt optimization for multi-task learning can help mitigate the issues of domain shift and class imbalance in real-world applications?
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