Two-day training program @ScaDs.AI Dresden/Leipzig

LLMs in Science & Industry

Date/Time: to
Type: Workshop/Seminar, Presence
Location: ScaDS.AI Dresden/Leipzig, Humboldstr. 25, 04105 Leipzig
Speakers: Dr. Robert Haase, Prof. Dr. Michael Färber, Prof. Dr. Simon Razniewski, Dr. Aaron Klein

Large Language Models (LLMs) are rapidly reshaping the landscape of scientific research and industrial applications. The two-day training “LLMs in Science & Industry” offers a comprehensive and practical introduction to the core concepts, methods, and tools behind modern LLMs. It focusses on their effective and responsible use in scientific and industrial contexts.

The training will take place on May 12 and 13, 2025 at ScaDS.AI Dresden/Leipzig, Humboldstr. 25, 04105 Leipzig.

Photo: ScaDS.AI Dresden/Leipzig
Training LLMs in Science & Industry

Program

Participants will gain a solid foundation in deep learning and LLM architectures, as well as explore techniques for efficient training and inference. Furthermore, they will learn how to fine-tune and evaluate models for domain-specific tasks. The course also addresses legal and ethical considerations, data handling, and cutting-edge approaches such as Retrieval-Augmented Generation (RAG).

The program covers the following topics:

  • Deep Learning & Large Language Models Basics
  • Training Large Language Models, Scaling laws
  • Resource efficient inference, Distillation, Pruning
  • Fine-tuning an LLM
  • Large Language Model Evaluation
  • Data Sets & legal aspects of LLMs
  • Retrieval Augmented Generation (RAG)
  • Work on your own data Sessions

Methodological Approach

The two-day program combines expert-led lectures with hands-on sessions, including the opportunity to work with your own data. A dedicated networking event will provide space for exchange and collaboration across disciplines.

Target Audience

This training is designed for researchers, engineers and professionals.

Confirmed Speakers

Organizers

Registration

The participation fee includes all sessions and workshops as well as lunch, snacks and the social evening. Accommodation and travel can unfortunately not be covered by the registration fee and require self-organization.

Please register here: https://pretix.eu/infai/scadsaillm/