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Related Questions
- What are some common techniques for detecting out-of-distribution (OOD) tasks in intent-based prompt engineering models?
- How can we evaluate the robustness of prompt engineering models to OOD tasks using offline evaluation methods?
- What are some strategies for improving the robustness of prompt engineering models to OOD tasks through online adaptation and self-supervised learning?
- What are some best practices for designing robust intent-based prompts that generalize well to OOD tasks?
- How can we incorporate domain knowledge and task-related information into prompt engineering to improve robustness to OOD tasks?
- What are some challenges and limitations of evaluating the robustness of prompt engineering models to OOD tasks, and how can we address them?
- Can you provide some examples of successful applications of prompt engineering models in real-world scenarios, and what strategies were used to improve their robustness to OOD tasks?
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