Harnessing the Power of Generative AI with Hellixia

This new three-day course program is designed to help you employ Generative AI in the context of Bayesian networks.

About this Event

This new three-day course program is designed to help you employ Generative AI in the context of Bayesian networks using [Hellixia](/bayesialab/hellixia-user-guide), BayesiaLab's GenAI assistant. Hellixia offers a powerful set of capabilities to streamline the design, analysis, and documentation of knowledge models.

The course focuses on the four core functions of Hellixia, giving you practical skills to integrate them into your modeling workflows. These core functions can use internal knowledge embedded in Large Language Models (LLMs) or combine it with Retrieval-Augmented Generation (RAG), i.e., utilizing specific knowledge files.

About the Instructor

Dr. Lionel Jouffe is co-founder and CEO of France-based Bayesia S.A.S. Lionel holds a Ph.D. in Computer Science from the University of Rennes and has worked in Artificial Intelligence since the early 1990s. While working as a Professor/Researcher at ESIEA, Lionel started exploring the potential of Bayesian networks.

After co-founding Bayesia in 2001, he and his team have been working full-time on the development of BayesiaLab, which has since emerged as the leading software package for knowledge discovery, data mining, and knowledge modeling using Bayesian networks. BayesiaLab enjoys broad acceptance in academic communities, business, and industry.

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