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Related Questions
- What are some common pitfalls of using AI models on out-of-distribution inputs?
- How do AI models handle ambiguity and uncertainty when encountering unseen data?
- Can you explain the concept of 'adversarial examples' and how they relate to out-of-distribution inputs?
- What are some techniques used to detect and handle out-of-distribution inputs in AI models?
- How do AI models without contextual understanding generalize to new, unseen data?
- What are some challenges associated with training AI models to handle out-of-distribution inputs?
- Can you discuss the role of inductive bias in AI models' ability to handle out-of-distribution inputs?
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