Reduce AI hallucinations using Grounding and NotebookLM

Strict Context Constraint Prompt

Source Disagreement Analysis

Coverage Gap Analysis

Alternative Perspectives Prompt

Performing Basic Grounding in LLMs

1. Locate the specific transcript, PDF, documentation, article, or research paper required for context.
2. Open your preferred Large Language Model (e.g., ChatGPT, Claude).
3. Upload the file (if supported) or copy and paste the full text directly into the chat input field.
4. Type the specific grounding prompt (see Prompt card) instructing the AI to use ONLY the provided text.
5. Review the output to ensure the model has cited or referenced the provided text rather than external training data.

Executing RAG with Google NotebookLM

1. Navigate to Google NotebookLM.
2. Create a new notebook for your specific topic.
3. Click the upload interface to add sources.
4. Select and upload multiple source files (supports various file types like PDFs or Google Docs).
5. Wait for NotebookLM to process and index the sources.
6. Enter your query in the chat interface.
7. Review the generated response, specifically checking the in-text citations provided by default to verify accuracy.