This presentation outlines instructional sessions tailored to train medical librarians, graduate medical students, and teachers in the combined use of Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) workflows to support the synthesis of verifiable evidence. Presenters will share structured demonstrations and prompt engineering techniques designed to teach the effective use of two distinct platforms:• Copilot: Generate efficient search strategies, integrating MeSH terms, the PICO framework, and Boolean operators.• NotebookLM: Integrating JBI‑PRISMA scoping review steps to support transparent, framework‑aligned synthesis.Participants will leave with adaptable retrieval-aware prompt templates and AI‑enhanced synthesis strategies for their teaching and reference services.
