Join our next lecture from out series on AI and LLMs with Jan Ebert from the Forschungszentrum Jülich!
!The recording and presentation slides of the lecture are accessible below!
March 20th, 2024, 11am - 12am
The lecture will briefly introduce deep learning, which powers the current AI revolution, and large language models (LLMs) from a historical context and then dive into different aspects concerning LLM training. Topics such as data, the training process, and exemplary forms of working with and deploying LLMs will be addressed. An introduction of current state-of-the-art LLMs, applications in domains other than text, and future outlooks will close out the lecture.
Jan Ebert has studied Cognitive Informatics and Intelligent Systems at Bielefeld University. With high interest in deep learning and high-performance computing, he started to work at Jülich Supercomputing Centre as a Helmholtz AI Consultant, supporting researchers in various domains to apply artificial intelligence (AI) techniques for their research and co-founding LAION, an open community for open AI projects.
Recently, Jan has focussed on Transformers and large language models, working in projects such as OpenGPT-X and TrustLLM to create intelligent and thrustworthy language models for European languages.