Compare models, extract structured data, reproduce workflows: DCSR-LLM helps UNIL researchers use large language models in a more controlled and reproducible way.

A clear, accessible, and stimulating introduction to AI for teachers, with videos, interactive activities, and ethical reflection, delivered through a guided course of just over 3 hours.

An in-depth, structured training course for teachers who want to better understand AI, its educational impacts, and its concrete applications in the classroom and everyday teaching.

Learn how to design an AI assistant tailored to your academic needs: tools, setup, best practices, and limitations for effective, secure, and responsible use in study and research.

A selection of eight useful tools for exploring a field, structuring a corpus, and analyzing references, while maintaining a critical distance from automated syntheses.