Winter Semester 2024/25

Behind the Secrets of Large Language Models, TU Dresden

This course provides a practical and in-depth understanding of large language models that power modern natural language processing systems. Students will explore the architecture, training methodologies, capabilities, and ethical implications of LLMs. The course combines theoretical knowledge with hands-on experience to equip students with the skills necessary to develop, analyze, and apply LLMs in various contexts.

Contact

Prof. Dr. Simon Razniewski

TUD Dresden University of Technology

Chair of Knowledge-Aware Artifical Intelligence

Prof. Dr.-Ing. Michael Färber

TUD Dresden University of Technology

Chair of Scalable Software Architectures for Data Analytics