Microservice semantic determination by a model

Abstract

Techniques for automatically determining semantic information for portions of data using a large language model (LLM) and a machine learning model are discussed herein. For example, the LLM can receive initial input data representing a data string, byte slice, or computer-readable instructions, and output descriptions for different portions of the input data. The machine learning model can receive at least some of the descriptions output by the LLM, and determine one or more clusters of different portions. Each cluster can represent a business domain category, or microservice, for decomposing or otherwise modifying the initial input data. The techniques can include determining descriptions for each of the clusters to convey which microservices may be used in a microservice architecture. The techniques can include determining semantic meanings for microservices usable for application decomposition.