Navigating Prompt Engineering in Language Models

This chapter explores the complexities of prompt engineering for language models in project analysis, emphasizing the iterative refinement process for enhancing response accuracy. It examines the effectiveness of advanced language models in process mining and compares performance metrics of different approaches, highlighting the trade-offs involved. The discussion also covers challenges such as hallucination and inconsistency, along with strategies for ensuring reliability in experiments using these models.