06-2025 - Academic

Our brand-new three-day course program was developed to help you leverage the immense opportunities of Generative AI in the context of Bayesian networks using Hellixia.

Hellixia is BayesiaLab’s GenAI assistant and offers a suite of functions to assist in characterizing and analyzing problem domains, including:

• Dimension Elicitation: Identifies key dimensions of a problem domain by querying Large Language Models (LLMs) and proposing relevant dimensions.
• Generate Semantic Networks: Creates semantic networks by extracting main dimensions related to a user’s query, generating embeddings, and applying machine learning to reflect semantic proximities between dimensions.
• Generate Causal Networks: Develops causal Bayesian networks by tapping into knowledge available in LLMs, generating nodes, explanatory comments for causal links, and constructing conditional probability tables.
• Document Analysis: Provides tools for structured semantic analysis of knowledge files (e.g., txt, pdf, mp3), including generating causal networks, semantic flowcharts, causal semantic diagrams and knowledge graphs.
• Generate Comments and Descriptions: Enhances node content by generating detailed descriptions and comments, aiding in the understanding of classes of nodes and their relationships.
• Generate Translations and Images: Translates names and comments of nodes into different languages and generates images to be associated with nodes, enriching the visualization and accessibility of the network.

These features make Hellixia a powerful tool for researchers and analysts working with Bayesian networks, facilitating deeper insights and more efficient modeling processes.

The training will be conducted in French if all participants are French speakers; otherwise, it will be delivered in English.