Dr. Jenia Jitsev gives a compact insight into LAION, the Large-scale Artificial Intelligence Open Network: open foundation models, open datasets and resources for sovereign open-source AI.
The talk will highlight why open AI infrastructure matters for research, startups and technological sovereignty, and will point to selected LAION resources on Hugging Face and GitHub.
About Dr. Jenia Jitsev
Dr. Jenia Jitsev is Head of ATML Scalable Machine Learning & Multi-Purpose AI at Forschungszentrum Jülich / Jülich Supercomputing Centre. He is listed by LAION as Scientific Lead / Founder.
His work is connected to open foundation models, scaling laws, large-scale machine learning, multimodal models and LLM reasoning evaluation. Reliable references include Reproducible scaling laws for contrastive language-image learning, Resolving Discrepancies in Compute-Optimal Scaling of Language Models (NeurIPS 2024), and Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models.
Sources: Forschungszentrum Jülich profile, LAION Team, OpenCLIP scaling laws paper, NeurIPS 2024 scaling laws paper, Alice in Wonderland paper.
Language: English.
Links: laion.ai, GitHub, Hugging Face
- When:
- 27.05.2026 from 15:00 to 15:45 o'clock.
- Where:
- Köln
- Participation Fee:
- Free of Charge