UNIL provides a wide range of AI tools, tutorials and training courses to help everyone make progress. From high-performance computing platforms to specialised databases and methodological guides, everything is designed to facilitate exploration and experimentation. This comprehensive range is aimed at both beginners and advanced users wishing to develop their skills further.
-

Scientific literature review: eight AI tools to explore, structure, and analyze a corpus
A selection of eight useful tools for exploring a field, structuring a corpus, and analyzing references, while maintaining a critical distance from automated syntheses.
-

Artificial Intelligence and privacy: how to prevent the reuse of your personal data
The CNIL has published a practical guide explaining how to oppose the reuse of your personal data by major conversational agents and regain control over your privacy.
-

Install and manage an AI model for handling sensitive data (2026 update)
Local AI models are becoming increasingly powerful, appealing, and energy-efficient compared to commercial LLMs—all while keeping your data on your own device.
-

Microsoft Copilot: the secure AI language model at UNIL (2026 update)
Microsoft Copilot is the only authorized language model at UNIL. High-performing and secure, it meets confidentiality standards required for institutional academic use.
-

NotebookLM: a powerful AI tool for summarizing and querying your documents
NotebookLM is an AI-powered tool that summarizes your documents, answers your questions with source citations, and can even generate an audio podcast.
-

Thé Van Luong’s Padlet: a selection of AI tools tested at UNIL (2026 update)
Explore a Padlet of AI tools tested at UNIL, useful for researchers, PATs and developers to enrich academic, administrative and technical practices within the university.
