Track1: GenAI Mastery

Optimizing Resource Allocation with LLM-based Solutions

Join us for an immersive workshop designed to help developers and engineers build a real-world Retrieval Augmented Generation (RAG) application to streamline resource allocation in projects.

This session will kick off with an overview of the current Large Language Model (LLM) market, followed by an introduction to a practical business case. Through a series of hands-on coding exercises, participants will develop a complete RAG app, encompassing both frontend and backend components. The workshop will conclude with a discussion on the performance, costs, and limitations of such applications, providing a comprehensive understanding of LLM-based solutions in business contexts.

Learning goal

After the workshop, participants will understand how to approach a RAG app from front- to backend. Participants will also know about performance, cost and limitations of such applications, providing a comprehensive understanding of LLMs in the business context.

Pre-requisites

Familiarity with Python.

  • Gabriel Levaillant

    Gabriel holds an MSc in Banking, Finance and Insurance from the University of Paris-Dauphine. During his studies, he attended Finance and Computer Science classes at the Hanken School of Economics in Helsinki, Finland. Before joining D ONE, he worked as a Data Scientist for Ankorstore. He has significant professional experience in the public and private sector. Gabriel has been with the team since 2022.

  • Dr. Andrei Dmitrenko

    Andrei is an applied mathematician by training who received a Master in bioinformatics. Andrei worked as a research engineer in academia, later as a systems biology team lead in a biotechnology company. Before joining D ONE, he did a PhD at ETH Zürich developing AI methods for reproducible high-throughput metabolomics. Andrei held multiple workshops on business applications of GenAI, presented at top conferences, such as NeurIPS and BioTechX, and co-authored more than 15 scientific publications. He has been with the team since 2022.