USING STRUCTURED INFORMATION FOR IMPROVED TRAINING OF GENERATIVE ARTIFICIAL INTELLIGENCE (AI) MODELS
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United States of America
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Issued Date -
Apr 10, 2025
app pub date -
Oct 10, 2023
filing date -
Oct 10, 2023
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Abstract
A computing platform may obtain, from an information storage source, historical information, including both structured information and unstructured information. The computing platform may train, using the historical information, a foundational AI model. The computing platform may select features of the foundational AI model for use in training a plurality of generative AI models. The computing platform may identify a portion of the historical information corresponding to the selected features. The computing platform may normalize the portion of the historical information, and may train, using the normalized portions of the historical information, each generative AI model of the plurality of generative AI models. 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 one of the plurality of generative AI models, a generative AI response, and may send, to the user device, the generative AI response.
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