Facilitating large scale summarization, labelling, and categorization using large language models

Abstract

Facilitating large scale summarization, labelling, and categorization using large language models is provided. A method includes transforming, by a system comprising at least one processor, a group of source data into a hierarchical structure representation. The transforming includes performing an iterative process of repeated calls to a sorting pipeline. Further, performing of the iterative process includes facilitating respective content summations for respective source data items of the group of source data, resulting in individual content summations. Performing of the iterative process also includes facilitating grouping of individual content summations into respective groups and facilitating respective categorizations of the respective groups, resulting in generated collections determined based on the respective categorizations. Additionally, performing of the iterative process includes facilitating summarization of the generated collections, resulting in a summarized collection. The method also includes rendering, by the system via a user device, the summarized collection as the hierarchical structure representation.