INTENT CLASSIFICATION FOR EXECUTING A RETRIEVAL AUGMENTED GENERATION PIPELINE FOR NATURAL LANGUAGE TASKS USING A GENERATE MACHINE LEARNING MODEL

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United States of America

APP PUB NO 20250111091A1
SERIAL NO

18478766

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Abstract

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Intent classification is performed for executing a retrieval augmented generation pipeline for natural language tasks using a generative machine learning model. A natural language generative application with associated data repositories may submit a natural language task. A classification machine learning model is used to determine an intent for the natural language request. A number of iterations of a retrieval pipeline may be determined to perform the natural language task based on the intent. The natural language request may be processed through a retrieval pipeline according to the determined number of iterations before returning a result to the request.

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Patent Owner(s)

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AMAZON TECHNOLOGIES INCPO BOX 81226 SEATTLE WA 98108-1226

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Berry, Ishaan Maple Valley, US 1 0
Ghosh, Sanjukta Chatham Township, US 7 46
Gupta, Pankhuri West New York, US 2 0
Kim, Ji Hoon New York, US 302 2371
Mittal, Kartik Jersey City, US 2 0
Nair, Nidish Rajendran Brooklyn, US 2 0
Raj, Sachin Bangalore Black Diamond, US 3 0
Ram, Surya Brooklyn, US 1 0
Saligrama, Shreeram Karthik Bothell, US 6 12
Sembium, Varadarajan Varun Redmond, US 6 8
Shukla, Ashwin Jersey City, US 1 0
Zhao, Tiejun Skillman, US 18 55

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