Abstract: My early research focused on the application of machine learning techniques for data-driven failure prediction of wind turbine components, with an emphasis on evaluating their effectiveness using operational data. Building on the growing interest in large language model (LLM) applications, this work further investigates the feasibility and potential of integrating LLMs into these workflows to enhance model development, automation, and predictive performance.