TU Wien CAIML

Student Information

Activities for students at CAIML.

Generative AI

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.

Lecturers

Visit TISS page for further information.

CAIML Seminar

In the CAIML seminar series, students and CAIML partners present and discuss current research topics and projects. Students write summaries of the talks in each session.

After successful completion of the course, students are able to provide an overview on the new research topcis and issues on AI and ML.

Visit the TISS page for further information.

Student Exchange Program With the Tufts University

We are pleased to announce the continuation of our exchange program with the Tufts University for up to five students for the spring semester in 2024. These five students from the TU Wien can choose from the following online Tufts University courses free of charge:

  • CS 239 “Ethics for AI, robotics and human-robot interaction”
    every Tuesday between 18:00-20:30 (starting on January 23, 2024)

  • CS 141 “Probabilistic Robotics”
    every Tuesday and Thursday between 16:30-17:45 (starting on January 18, 2024)

This list will be extended, as soon as more information about spring semester courses is available.

(see details https://www.cs.tufts.edu/t/courses/schedules/spring2024)

Please express your interest via a direct email to Matthias.Scheutz@tufts.edu - you will receive then further information about the possible courses.