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Session 6: Presentation of thery topics

Date: 2026-04-27

Overview

Students present their current research findings on specific application areas of generative AI.

Plan

Presentations of selected theory topics researched by students:

  • Joshua Aleth: Agentic AI with OpenClaw and others (e.g. MCP)
  • Sebastian Bauer: Text-based generation of other modalities (CLIP and successors)
  • Sebastian Regelmann: Image generation with foundation models (GAN, Stable Diffusion, Flow Matching)

Each presentation should be exactly 15 minutes, followed by 5 - 15 minutes of Q&A. A hand-out (pdf) summarizing key points should be provided.

Results

The presentations should cover the following points:

  • Overview of the application area --> which problems are solved by generative AI in this area? What are the main use cases? Which tools are used for which purposes?
  • Key models and architectures --> which models have been developed over the years? Which architectures are used? What are the main differences between them?
  • Relevant tools and frameworks --> which tools and frameworks are available today for working with generative AI in this area? Which ones are most popular? Which ones are most powerful? Which ones are free to use? Which ones are open source?
  • Example use cases and demos --> which examples and demos are available for this application area? Which ones are most impressive? Which ones are most useful? Which ones are most creative?
  • Challenges and future directions --> which challenges are still open in this application area? Which ones are most pressing? Which ones are most interesting? Which ones are most promising for future research and development?

Agentic AI

Handout

CLIP and successors

Handout

Image generation (GAN, Stable Diffusion, Flow Matching)

Handout

Feedback

All talks have been very well prepared and delivered. The content was clear and informative, however the presenters did not fully engage the audience. The use of examples and demos was particularly effective in illustrating the concepts being discussed. The Q&A sessions were also very productive, with insightful questions and thoughtful answers.

Some general advice for future presentations:

  • Try to engage the audience in the beginning with a strong hook or an interesting question. The quote from Dijkstra was a good start, but it could have been more effective if it had been followed by a pause to let the audience reflect on it before diving into the technical details.
  • When introducing new concepts, take a moment to explain them in simple terms before going into the technical details. This will help ensure that everyone in the audience is on the same page and can follow along with the presentation.
  • Do not try to cover too much material in a short amount of time. It is better to focus on a few key points and explain them well than to try to cover everything and risk losing the audience.
  • Try to build a story arc in your presentation, with a clear beginning, middle, and end. This will help keep the audience engaged and make it easier for them to follow along.
  • If you refer to research papers or other sources, make sure to name the authors and their affiliation or some context to understand the circumstances that lead to this publication. Provide enough information for the audience to find them and encourage them to find out more, if you appreciate the source - which you should, otherwise you should not use the source.

Todo

Ordinary Differential Equation anstatt Stochastic Differential Equations --> nochmal genauer anschauen