USING LARGE LANGUAGE MODELS TO GENERATE SEARCH QUERY ANSWERS

USING LARGE LANGUAGE MODELS TO GENERATE SEARCH QUERY ANSWERS

A system generates search query responses based on a content repository that include natural language answers and actions performed based on content items in the repository. The system receives a query associated with the content repository. Based on the query, the system retrieves a set of text chu...

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Bibliographische Detailangaben
Hauptverfasser: Aumi, Md Tanvir Islam, Pulikunta, Sai Rahul Reddy, A, Jinai, Ting, Timothy, Rollman, Caitlin, Inna, Sharanya Chandrakantha Rao, Berglund, Kurt William, Liu, Xiangfeng
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Zusammenfassung:A system generates search query responses based on a content repository that include natural language answers and actions performed based on content items in the repository. The system receives a query associated with the content repository. Based on the query, the system retrieves a set of text chunks that are relevant to the query. At least a portion of the relevant text chunks are sent to a large language model (LLM) to cause the LLM to generate an answer description for the user query, based on the text chunks.