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Related Questions
- What are the key differences between single-task and multi-task learning models, and how do they impact prompt optimization?
- How can prompt engineers balance the trade-off between task-specific knowledge and generalization in multi-task learning models?
- What are some common pitfalls to avoid when designing prompts for multi-task learning models, and how can they be mitigated?
- How can the use of transfer learning and pre-trained models affect prompt optimization in multi-task learning?
- What role does task similarity play in prompt optimization for multi-task learning models, and how can it be leveraged?
- How can prompt engineers use meta-learning and few-shot learning to improve prompt optimization for multi-task learning models?
- What are some effective strategies for evaluating and refining prompts for multi-task learning models, and how can they be integrated into the development process?
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