Track1: GenAI Mastery

Integrating custom knowledge with Large Language Models

This Large Language Model (LLM) workshop encompasses the following three topics:

  • Showcase real-world applications and value creation opportunities

  • Comprehensive understanding how to adjust LLMs so they perform according to your needs

  • Hands-on experience how to connect custom knowledge bases with LLMs using state of the art models and overcoming challenges associated with it

Your time with us will be a mix of theory, live demonstrations, with a focus on hands-on exercises specifically designed to help you get an in-depth grasp of the topic.

Learning goal

After the workshop, participants will understand different approaches to customize an LLM to one's specific needs. Participants will have connected a custom knowledge base with an LLM and how to tackle common challenges. They will have an understanding of the work required to prepare the custom knowledge base and how to create value opportunities with LLMs.

Pre-requisites

Basic understanding of Python. Participants need a laptop with Python and a working Jupyter environment installed. We suggest that they install Visual Studio Code.

  • Philipp Warmer

    Philipp received his Dr. sc. in Systems Biology from the Swiss Federal Institute of Technology (ETH) in Zurich. He also holds a M.Sc. in Bioinformatics and a B.Sc. in Focus Technology. Philipp has been with the team since 2021.

  • Heiko Kromer

    Heiko holds a Ph.D. in Nuclear Engineering from the Swiss Federal Institute of Technology (ETH Zurich). His consulting focus is advanced data analytics and machine learning including data extraction, processing, modelling, and visualization. Heiko has been with the team since 2021.