NotebookLM is now Gemini Notebook. A walkthrough on four public UNIL directives, four examples depending on your role, and what you are allowed to upload.

A two-minute questionnaire from the UNIL AI Strategic Unit. It examines the nature of your data and tells you which AI tools you may use: commercial, institutional or local.

Local AIs are increasingly powerful, attractive and energy-efficient compared with commercial LLMs, all while keeping your sensitive data on your own computer rather than on remote servers.

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.