Enterprise data processing methods, devices, equipment, and storage media based on large models

Abstract

This application discloses a method, apparatus, device, and storage medium for enterprise data processing based on a large model. The method, relating to the field of data processing technology, includes: determining multiple sets of enterprise data corresponding to the enterprise to be predicted in an enterprise information database, wherein each set of enterprise data corresponds to a different data type, and the enterprise information database is constructed by acquiring original enterprise data from different enterprises; for each set of enterprise data, inputting the original data of the target enterprise in the set of enterprise data into an expert model corresponding to the enterprise data set in a pre-trained large model to obtain feature vectors; determining the vector weights corresponding to each feature vector based on the gate network in the large model, and determining and outputting the enterprise data prediction result based on each feature vector and its weights. This application improves the accuracy of the model in predicting enterprise loan intentions.

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