Getting Started With Source-Grounded AI
Getting Started With Source-Grounded AI
This session introduces source-grounded AI tools, with a focus on NotebookLM, which generate outputs using only the curated documents provided by the user. Participants will also explore practical ways to approximate retrieval-augmented generation (RAG) in tools such as ChatGPT and Microsoft Copilot by constraining inputs and structuring prompts.
The session will examine both the opportunities and limitations of source-grounded AI in public sector contexts. Participants will learn how to set up a secure workspace, upload and organize documents, and use core NotebookLM features—such as Mind Maps—to explore dense materials and generate insights that can be used in policy communication.
Participants should bring a publicly available document to use during the session exercises.
By the end of this session, participants will be able to:
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Explain how source-grounded AI differs from general-purpose AI tools
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Identify key opportunities and limitations of source-grounded approaches
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Upload and manage source documents while adhering to public sector data governance standards
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Use AI-generated mind maps to navigate complex materials and support downstream communication
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