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This invention describes a smart system that learns how to best handle your spoken requests. When you say something, it figures out what you mean (its "intent") and tries to send it to the right program or "skill" to get a response. If that program doesn't work well, the system remembers that feedback and uses it to get better at choosing the *next* time you say something similar, ensuring your requests are routed more effectively over time. The claims specifically focus on using a machine learning model to predict which skill is best based on feedback.
Why it matters: Filed before the widespread adoption and capabilities of large language models (LLMs), the core task of semantic interpretation and intent routing has become significantly more robust and accessible. Modern AI advancements could streamline the development and performance of the feedback prediction machine learning model described, making the system more effective and easier to build today.
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