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Related Questions
- What are common metrics used to evaluate a model's performance on out-of-distribution inputs?
- How can I design experiments to test my model's robustness against out-of-distribution inputs?
- What are some techniques for detecting and handling out-of-distribution inputs in natural language processing models?
- Can you explain the concept of robustness and its importance in evaluating the effectiveness of my prompts?
- How can I use data augmentation and synthetic data generation to improve my model's handling of out-of-distribution inputs?
- What are some common pitfalls to avoid when evaluating the effectiveness of prompts in handling out-of-distribution inputs?
- Can you provide examples of successful applications of prompt engineering in handling out-of-distribution inputs?
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