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Related Questions
- What are some common pitfalls in implementing conversational turn-taking and context management in AI systems?
- How do you balance the complexity of context management with the need for efficient and user-friendly conversational flow?
- What techniques are used to handle conflicting turn-taking strategies in multiple interacting agents?
- How do you deal with the issue of fading memory in conversational systems where context needs to be stored for extended periods?
- What design approaches can be taken to avoid the 'lost context' problem when users enter and exit conversations?
- What role do semantics and pragmatics play in conversational context management, and how do AI systems handle ambiguity and ambiguity resolution?
- What are some of the key metrics or benchmarks for evaluating the effectiveness of turn-taking and context management in conversational AI systems?
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