This invention describes a computer system that uses artificial intelligence (AI) and machine learning (ML) to understand what people mean and intend when they communicate. It works across various ways people talk, like phone calls, emails, or chat apps. The system collects conversation data, processes it using AI to identify different meanings and purposes, and then trains computer models to make conversations smarter, more responsive, and more helpful.
Why it matters: Filed before the widespread availability and capabilities of large language models (LLMs). Today, LLMs can significantly streamline the "hierarchical multi-intent data labeling" and model training for context and intent understanding, making the core AI subsystem easier to build and deploy.
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