The machine learning platform for developers of large systems

TL;DR

This paper discusses a machine learning platform utilizing Retrieval Augmented Generation (RAG) for large system development, highlighting its advantages in development and deployment phases, especially with large language models.

Contribution

It introduces a novel application of RAG in large system development, emphasizing its benefits for development efficiency and deployment.

Findings

RAG has been steadily developed since 2021.

Applying RAG to large systems improves development processes.

RAG enhances deployment and exploitation of large language models.

Abstract

The machine learning system in the form of Retrieval Augmented Generation (RAG) has developed steadily since about 2021. RAG could be observed as a version of the knowledge transfer. In the studied case, the large computing systems are observed as the application point of RAG, which includes large language model (LLM), as a partner for the developing team. Such an approach has advantages during the development process and further in exploitation time.