Workshop on Large Language Models and Generative AI

The workshop covered a wide range of topics, from an introduction to the history of artificial intelligence to practical application examples.

Dr. Gaier provided insights into the use of generative AI systems in computer-aided design (CAD) and architecture. Dr. Kirschner, in turn, focused on machine learning, but from the perspective of a natural scientist who is relatively new to this area of research.

Dr. Alexander Hagg, organizer of the workshop, shed light on the role of Large Language Models (LLMs) specifically in the field of teaching, emphasizing that they are much more than mere text generators. They can simulate abstracting thinking such as generalization, analogical reasoning, and creativity. "LLMs, however, are still machines operated by humans. Without input, there is no output. We are responsible for what LLMs do in our society," Hagg said. It's also important to understand the limitations of the models, he said. For example, an LLM can't really do math, which surprised many participants.

What's next?

The workshop ended with a contribution on the future application of AI systems. Questions such as "Where can I use AI systems?" and "How do I even determine that?" were also discussed.

The event generated a lot of interest and positive feedback. It provided a valuable opportunity for members to explore both the theory and practice of AI and to see the relevance of these technologies to various disciplines.