Regensburg 2025 – scientific programme

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TUT: Tutorien

TUT 1: Hands-on Tutorial: AI Fundamentals for Research (joint session BP/TUT/DY/AKPIK)

TUT 1.3: Tutorial

Sunday, March 16, 2025, 17:30–18:15, H2

Hands-On Session 2 -- Classification and More — Jan Bürger¹, Janine Graser², •Robin Msiska^2,3, and Arash Rahimi-Iman⁴ — ¹ErUM-Data-Hub, RWTH Aachen University, Aachen, Germany — ²Faculty of Physics and Center for Nanointegration Duisburg-Essen (CENIDE), University of Duisburg-Essen, Duisburg, Germany — ³Department of Solid State Sciences, Ghent University, Ghent, Belgium — ⁴I. Physikalisches Institut and Center for Materials Research, Justus-Liebig-University Gießen, Gießen, Germany

The session demonstrates how pre-trained models can simplify tasks such as classification, making them readily applicable to research. Typical examples include recognizing handwritten digits, which showcase the power of pretrained models in solving common challenges. As a preview of advanced topics, the tutorial concludes with brief examples of large language models (LLMs) and generative AI.

Keywords: AI