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- How does Infermatic.ai's architecture enable it to understand and maintain context throughout a conversation?
- Can you explain the role of entity recognition and intent detection in Infermatic.ai's conversation flow?
- How does Infermatic.ai's dialogue management system handle follow-up questions and multi-turn conversations?
- What techniques does Infermatic.ai use to identify and respond to implicit context, such as implied entities or relationships?
- Can you describe how Infermatic.ai's conversation flow is influenced by its understanding of user goals and preferences?
- How does Infermatic.ai's use of context and conversation flow impact its ability to provide personalized and relevant responses?
- What machine learning algorithms and techniques are used by Infermatic.ai to improve its understanding of context and conversation flow over time?
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