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기록

APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PROCESSING SERVICE MESSAGE DATA OBJECTS VIA LARGE LANGUAGE MODELING AND CLASSIFICATION MACHINE LEARNING TO PROVIDE SERVICE MESSAGE CLASSIFICATIONS

발명심사 중
3조회수
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Rutvik Acharya; Tom Albrect; Sarah Williams; Trevor Townsend; Danielle Kaminski

IPC 분류

G6F 40/279G6F 16/353G6F 16/358

CPC 분류

G6F40/279G6F16/353G6F16/358

Methods, apparatuses, or computer program products that process service message data objects via large language modeling and classification machine learning to provide service message classifications. In some examples, a large language model is applied to a plurality of service message data objects associated with an application framework to generate a feature set for the plurality of service message data objects, a classification machine learning model is applied to the feature set to generate a plurality of classification data objects associated with the plurality of service message data objects that classify a respective service message data object as belonging to a predefined class of a plurality of predefined classes, and a rendering of a dashboard visualization is initiated via an electronic interface based at least in part on the plurality of classification data objects.

원문 (중국어)

Methods, apparatuses, or computer program products that process service message data objects via large language modeling and classification machine learning to provide service message classifications. In some examples, a large language model is applied to a plurality of service message data objects associated with an application framework to generate a feature set for the plurality of service message data objects, a classification machine learning model is applied to the feature set to generate a plurality of classification data objects associated with the plurality of service message data objects that classify a respective service message data object as belonging to a predefined class of a plurality of predefined classes, and a rendering of a dashboard visualization is initiated via an electronic interface based at least in part on the plurality of classification data objects.