Gerenciamento do ciclo de vida em LLMOPS: um survey sobre práticas e interações contínuas

Abstract

Large Language Model Operations (LLMOps) emerges as an approach focused on managing the lifecycle of applications based on Large Language Models (LLMs), encompassing stages ranging from data preparation to deployment, monitoring, and the continuous evolution of models in production environments. Despite the recent growth of the field, the literature remains fragmented, with studies often addressing these stages in an isolated or linear manner, which hinders a comprehensive understanding of LLMOps as an integrated operational process. In this context, this work aims to analyze, through a literature survey, how the LLMOps lifecycle is addressed in existing studies, with a particular focus on practices and continuous interactions between its stages, as well as on its application across different contexts. The adopted methodology is based on systematic steps for searching, selecting, and analyzing primary studies, following predefined criteria to ensure methodological rigor and consistency in the synthesis of results. As a result, 13 studies were selected, from which it was possible to identify and analyze the main practices, processes, and continuous interactions that comprise the LLMOps lifecycle, as well as to understand its application across different domains.