If you’d rather not share your data with mysterious servers in faraway places, this session might be for you. We’ll start by clarifying what “open source” means and highlighting a few open-source LLMs. You’ll learn the key differences between locally run and cloud-based models, and why those differences matter for privacy and security. Then we’ll introduce Ollama, a simple tool that makes it easy to download small language models and run them locally. We’ll wrap up with a step-by-step demo on...

This session introduces the Concordia University community to NotebookLM as a collaborative tool that streamlines research and academic operations by centralizing sources, comparing documents, and extracting clear, evidence-informed insights. Using a case study on identifying recommendations and best practices for Responsible AI, participants will see how shared notebooks enhance teamwork and reduce duplication when working with complex documentation. The session also highlights essential lim...