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Related Questions
- What are the common challenges encountered when handling out-of-distribution tasks in intent-based prompt engineering?
- How do large language models struggle with out-of-distribution tasks, and what are the implications for intent-based prompt engineering?
- What are some strategies for addressing out-of-distribution tasks in intent-based prompt engineering, such as data augmentation and task adaptation?
- How can prompt engineers detect and mitigate the effects of out-of-distribution tasks on model performance and accuracy?
- What role does domain adaptation play in addressing out-of-distribution tasks in intent-based prompt engineering?
- How can prompt engineers balance the trade-off between in-distribution and out-of-distribution task performance in intent-based prompt engineering?
- What are some best practices for evaluating and improving the robustness of intent-based prompt engineering models to out-of-distribution tasks?
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