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Related Questions
- What are some common evaluation metrics for assessing the robustness of conversational AI systems?
- How can you simulate out-of-vocabulary words and unseen contexts to test the system's robustness?
- What are some techniques for handling unknown words or concepts in conversational AI?
- Can you explain the concept of 'adversarial testing' in the context of conversational AI robustness?
- How do you assess the system's ability to generalize to new, unseen contexts?
- What role does data augmentation play in improving the robustness of conversational AI systems?
- How can you measure the system's ability to recover from unexpected or ambiguous user input?
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