USING STRUCTURED INFORMATION FOR IMPROVED TRAINING OF GENERATIVE ARTIFICIAL INTELLIGENCE (AI) MODELS

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United States of America

APP PUB NO 20250117643A1
SERIAL NO

18377350

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Abstract

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A computing platform may obtain, from an information storage source, historical information, which may be structured rather than unstructured. The computing platform may train, using the historical information, a foundational artificial intelligence (AI) model. The computing platform may select one or more features of the foundational AI model for use in training a generative AI model. The computing platform may identify a portion of the historical information corresponding to the selected one or more features. The computing platform may normalize the portion of the historical information. The computing platform may train, using the normalized portion of the historical information, the generative AI model. The computing platform may receive, from a user device, a generative AI prompt. The computing platform may generate, by inputting the generative AI prompt into the generative AI model, a generative AI response. The computing platform may send, to the user device, the generative AI response.

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Patent Owner(s)

Patent OwnerAddress
BANK OF AMERICA CORPORATION214 N TRYON STREET MAILCODE NC1-027-20-05 CHARLOTTE NC 28255

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Mukherjee, Maharaj Poughkeepsie, US 300 1687

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