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Related Questions
- What are the key components of a conversational AI model that enable it to handle multi-turn conversations?
- How do AI models use contextual information to understand the conversation's topic, tone, and intent over time?
- What techniques do AI models employ to maintain coherence in the conversation, avoiding context switching and maintaining a relevant discussion?
- How do AI models incorporate domain knowledge and external data sources to improve their understanding of the conversation's context?
- What is the role of attention mechanisms in AI models when handling multi-turn conversations, and how do they help focus on relevant information?
- Can you explain how AI models handle ambiguity, inconsistencies, and contradictions in a conversation, and how they resolve these issues?
- How do AI models use memory and representation techniques, such as recurrent neural networks (RNNs) and transformers, to maintain a coherent understanding of the conversation's context over time?
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