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Related Questions
- Can you provide examples of idiomatic expressions that can be misinterpreted by conversational AI models?
- What are some common types of semantic ambiguity, such as homophones, homographs, or vague language, that can occur in conversational AI prompts?
- How can conversational AI models handle ambiguity in natural language, such as ambiguity in word meanings, sentence structure, or context?
- What are some techniques for designing conversational AI prompts that minimize ambiguity and ensure accurate understanding of user intent?
- Can you discuss the challenges of resolving ambiguity in conversational AI, including the trade-offs between precision and recall?
- How can conversational AI models handle ambiguity in multimodal input, such as speech and text?
- What are some strategies for improving the interpretability of conversational AI models, such as visualizing uncertainty or providing transparency into decision-making processes?
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