David Obembe

David Obembe, a recent graduate from the University of Tartu, dives into his master's thesis on blending large language models with process mining tools. He explains how process mining uses event logs to map out inefficiencies in business processes. Fascinating insights include the evolution of these techniques post-LLM integration, enhancing data retrieval and insights. David shares his experiments with Retrieval Augmented Generation and discusses the challenges of prompt engineering, highlighting the balance between accuracy and model reliability.