This invention describes a system that validates its understanding of a user's question. When a user asks something, the system first classifies it, for instance, as a personal or non-personal question. It then presents the user with several answer cards based on that classification, and by observing how the user interacts with these cards (like how long they look or what they click), the system determines if its initial classification was correct.
Why it matters: Filed before the widespread adoption of large language models (LLMs). LLMs can now perform the initial question classification with greater accuracy and nuance, making the user validation step described in the claims a powerful feedback loop for refining these advanced AI systems.
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