| Title | Time | Room | Teacher |
|---|---|---|---|
| AI & Prompt Engineering | 05.12.2025 09:00 - 16:00 (Fri) | TUM Graduate School: Boltzmannstraße 17, 85748 Garching bei München, Room 101 | Felizia Quetscher & Dr. Christoph Eikemeier |
In this workshop, participants will learn to improve their use of language models such as ChatGPT and explore a variety of AI tools for their daily work.
The workshop focuses on the interaction with language models such as ChatGPT. We will learn various prompting techniques to improve the desired output of the language model. Additionally, we will cover theoretical basics of language models and AI.
Interactive presentations and practical exercises give participants the opportunity to apply what they have learned. They can discuss their questions as well as problems with experts. The workshop is aimed at people with little or no prior knowledge of AI and language models. Participants are also welcome to bring their own questions on the topic of AI and language models.
- Understand the basics of generative AI
- Learn prompting techniques
- Explore AI tools and applications
Presentations, Hands-on sessions, Interactive discussions.
At the beginning of the doctorate │ during the doctorate │ at the end of the doctorate
None.
Please bring your laptop.
- Try out tools like ChatGPT, Perplexity.ai, or other similar platforms to get a basic understanding of how they work.
- Reflect on your daily work as a doctoral candidate and identify tasks that are repetitive, time-consuming, or could be optimized.
- I liked that we learned about how LLMs understand different types of prompts (one-shot, two-shot etc.) and how they are structured. The tools they introduced were also good.
- Learning about new AI tools that I can use in my work.
Felizia Quetscher graduated in Mechatronics and has been working as a Software Consultant for TNG since 2022. Besides her daily work in software development and consulting on various projects, she is engaged in several side projects related to LLM and machine learning, such as teaching about those topics.
Dr. Christoph Eikemeier holds a strong foundation in mathematics and number theory, which he developed during his studies at the University of Leipzig and the Max Planck Institute (MPI) for Mathematics in the Sciences. Upon completing his Ph.D., he transitioned into industry, taking on the role of software consultant with focus software engineering and AI solutions architecture at TNG Technology Consulting GmbH. Through his work with diverse clients, he acquired hands-on experience in generative AI and its versatile applications, allowing him to stay at the forefront of this rapidly evolving field.