This invention describes a computer system that uses artificial intelligence and machine learning to understand what a user means and wants during conversations across various digital channels like phone, email, or social media. It works by collecting conversation data from sources like websites or databases, then uses AI to train models that can label and interpret multiple intentions within the conversation, allowing the system to provide smart and adaptive responses. The system is specifically designed to handle data from a wide range of communication channels and data sources.
Why it matters: Filed before the widespread adoption and capabilities of large language models (LLMs). Modern LLMs can significantly enhance the accuracy and adaptability of intent recognition and context determination across omnichannel data, making the core AI subsystem more powerful and efficient to build today.
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