SYSTEMS AND METHODS FOR GENERATIVE ARTIFICIAL INTELLIGENCE-ENABLED INTENT RESOLUTION

原文（中国語）

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.