Digital content generation with in-prompt hallucination management for conversational agent
Topics: Chunk Relevance, LLM Readability, LLMO / GEO, Microsoft, Query Fan Out, Retrieval Augmented Generation (RAG)
This Microsoft patent describes a system designed to reduce “hallucinations” (false information) in conversational AI by using a structured multi-step prompting process. The system uses a primary machine learning model to rank data sources and explain its reasoning before generating a final search query. A second model then takes the verified search results to synthesize a natural language response for the user, ensuring the output is grounded in actual data rather than fabricated information.
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