DOCUMENT ENTITY EXTRACTION PLATFORM BASED ON LARGE LANGUAGE MODELS

Abstract: systems and methods are provided for extracting entities from a body of text, using large language models. an example method comprises receiving, from a user, a first input comprising a body of text to be processed for information and a second input comprising a set of at least one element, wherein each of the at least one element comprises information associated with an entity, and wherein each of the at least one entity is data to be extracted from the first input. the example method further comprises creating a tailored input for a machine learning model based on the second input, sending the tailored input to the machine learning model, receiving an output from the machine learning model, processing the output, and providing a processed interactive output to the user.

Inventor(s): Shrikant GANGAL, Tushar TILWANKAR, Abhinay SOUNDANKAR, Jaydeep PATIL, Devendra SONI

CPC Classification: G06F40/258 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ))

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