After successful completion of the course, students are able to understand the current methods, algorithms, and prompting techniques of Generative AI, including, for example, Large Language Models such as ChatGPT. This forms the basis for further courses and projects.
Generative AI and Large Language Models in particular has seen rapid and ground-breaking development in recent years and months. This course is about the theoretic foundations and the most important and most recent algorithmic developments. The implementation of Generative-AI systems as well as open-source codes and data sets will be discussed. Tooling and prompting techniques will also be explained.
As methods, the course is based on:
This lecture is jointly designed and held with Bernhard Krüpl-Sypien and Johannes Oster.
Showing proficiency is based on: