Navigating Prompt Engineering and Process Mining

This chapter explores the complexities of prompt engineering and its impact on the performance of natural language models like GPT-4 and Claude V3. It also discusses the transition from traditional analysis methods to automated systems in process mining, highlighting the role of Retrieval-Augmented Generation (RAG) in enhancing information retrieval. Additionally, the chapter addresses challenges such as prompt hallucination and inconsistencies in model responses, while emphasizing the need for precise prompting in evolving fields.