SYSTEMS AND METHODS FOR GENERATIVE ARTIFICIAL INTELLIGENCE-ENABLED INTENT RESOLUTION
卷宗概要
发明人
Kenneth Hashimoto; Becca Williams; Jennifer Cantor; Jeremy Mack; Jordan H. Taler
IPC 分类
CPC 分类
Systems and methods provide a framework through which generative artificial intelligence-enabled systems are implemented to provide real-time intent analysis and resolution. In response to user queries communicated by different users, the user queries are converted into different sets of embeddings that are evaluated according to different data sources made available through a Retrieval Augmented Generation (RAG) processor. Based on these different data sources and the different sets of embeddings, the RAG processor and one or more Large Language Models (LLMs) and/or generative artificial intelligence processes dynamically generate relevant responses to these different user queries.
原文（中文）
Systems and methods provide a framework through which generative artificial intelligence-enabled systems are implemented to provide real-time intent analysis and resolution. In response to user queries communicated by different users, the user queries are converted into different sets of embeddings that are evaluated according to different data sources made available through a Retrieval Augmented Generation (RAG) processor. Based on these different data sources and the different sets of embeddings, the RAG processor and one or more Large Language Models (LLMs) and/or generative artificial intelligence processes dynamically generate relevant responses to these different user queries.