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Session 8: Presentation of remaining theory topics

Date: 2025-11-20

Overview

Continuation of student presentations on generative AI application areas.

Plan

Students continue presenting their research findings on specific application areas of generative AI.

Before using the tools for generating content, consider the energy consumption and environmental impact of these models. Implement and use tools to measure and report the carbon footprint of your generative AI usage where possible. You can use the Code Carbon (GitHub) tool.

Topics

The following presentations on chosen application areas:

  • (Athanasios) Text generation with LLMs (focus on natural language, as well as applications in chatbots, etc.)
  • (Alyssa) Text based generation of other modalities (focus on text to image, text to video, text to audio and how text prompts are used to control these models)
  • (Flavio) Image generation with Foundation Models (Diffusion, GAN or others) (focus on how the models generate individual images and graphics)
  • (Leon) Video generation with Foundation Models (focus on short video clips)
  • (Isabell) 3D model generation with Foundation Models (focus on generation of 3D objects and scenes)
  • (Chantal) Audio generation with Foundation Models (focus on music, speech, sound effects)
  • (Ali) Code generation with LLMs (focus on program code, software development)

Materials

Presentation materials prepared by students based on their research.

Results

tbd