NotebookLM Mastery

Question 1 of 5

What lets you restrict NotebookLM's responses to specific documents?

• Using keyword filters in the search bar
• Toggling individual sources on and off in the source panel
• Creating a separate notebook for each topic
• Asking the AI to ignore certain documents

Question 2 of 5

In a retrieval-based tool such as NotebookLM, what is the main bottleneck that degrades answers when you load a notebook with marginal sources?

• The embedding step, which cannot distinguish between relevant and irrelevant sources during vectorization.
• The chunking step, which breaks sources into pieces that are too small to be useful.
• The retrieval step, where marginal chunks compete for limited context window slots with higher-quality chunks.
• The generation step, where Gemini cannot synthesize information from more than 20 sources at once.

Question 3 of 5

What is the 'collector's fallacy'?

• The belief that gathering enough material will automatically lead to understanding
• The tendency to collect too many sources and then ignore most of them
• The practice of using search engines instead of primary sources
• The error of collecting information without proper citation management

Question 4 of 5

In NotebookLM's interface, where are your uploaded sources listed?

• The chat window in the center
• The source panel on the left side
• The notes area on the right
• The output section at the bottom

Question 5 of 5

NotebookLM says your sources do not contain information about sea-level rise scenarios. What does that most likely tell you?

• NotebookLM is broken and you should switch to a different AI tool
• You should ask the question differently so the AI finds the information
• Sea-level rise scenarios are too complex for NotebookLM to handle
• Your source material has a gap, and you need to add relevant sources