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NotebookLM Review

What is NotebookLM?

NotebookLM homepage.

NotebookLM is Google’s AI research and note-taking tool that understands source materials. What makes it unique is that it’s specifically designed to help you work with uploaded documents, not just generic Internet knowledge. This helps prevent hallucinations and keeps outputs tied to your specific materials.

Key Differentiators

NotebookLM stands out with several key differentiators:

  1. Document-specific expertise, meaning the AI becomes an expert on your uploaded content. It provides summaries, explanations, and insights derived solely from your sources.
  2. Supports multiple formats, handling inputs like Google Docs, PDFs, YouTube URLs, and copied text.
  3. Its citation system ensures accuracy by providing in-line citations that link directly to relevant passages in the original documents.
  4. Collaborative features allow shared notebooks and AI-generated content.

Source grounding sets NotebookLM apart from other AI assistants like ChatGPT or Claude. While most AI tools draw from their general training data, NotebookLM focuses on understanding and working with your documents. It’s like having a research assistant who’s read all your materials thoroughly.

Regular chatbots can confuse information from different sources. NotebookLM stays faithful to your uploaded sources. It can generate summaries, answer questions, and even create new content, all while maintaining links to specific passages in your original documents.

Brief History & Development Timeline

Google launched NotebookLM (originally called “Project Tailwind”) as a limited experiment in 2023 at their I/O developer conference. They later rebranded it to NotebookLM and expanded access in December 2023.

Key developments include:

  • Citation capabilities: These were added during the July 2023 preview.
  • Document format expansion: Initially limited to Google Docs, later extended to PDFs, web URLs, and text pasting.
  • Advanced AI integration: Shifted from PaLM 2 to Gemini Pro for improved reasoning.

Core Technology Behind NotebookLM

The technology behind NotebookLM is sophisticated, leveraging Google’s Gemini language models.

Initially, NotebookLM was associated with PaLM 2, but it transitioned to Gemini models. By December 2023, NotebookLM was using Gemini Pro, and by May 2024, it had upgraded to Gemini 1.5 Pro. More recently, an experimental version of Gemini 2.0 Flash has been integrated into NotebookLM (December 2024).

These large language models are combined with specialized systems for document understanding and source attribution. The result is an AI that can “read” your PDFs, text files, and Google Docs, then reason about them.

Who is NotebookLM Best For?

Here’s who NotebookLM is best for:

  • Content creators can use NotebookLM to organize and summarize large amounts of information for efficient content creation.
  • Students and academics can use NotebookLM to analyze academic papers and extract key insights with structured summaries.
  • Professionals can use NotebookLM to convert lengthy reports into concise summaries for faster decision-making.
  • Marketers can use NotebookLM to generate data-driven insights to create personalized and compelling marketing content.
  • Researchers can use NotebookLM to integrate information across multiple sources and extract relevant insights without re-reading everything.
  • Writers can use NotebookLM to create comprehensive outlines and connect ideas efficiently when working on complex topics.

NotebookLM Key Features

Here are NotebookLM’s key features:

  • Source-Grounded AI: Provides insights directly tied to uploaded documents with inline citations.
  • AI-Powered Content Generation: Summarizes complex materials and generates interactive audio discussions.
  • Productivity Tools: Auto-generates summaries, templates, and visual mind maps for better organization.
  • Research & Study Enhancements: Expands research with source recommendations and complex PDF analysis.
  • Collaboration & Sharing: Supports shared notebooks with team permissions and enterprise-grade security.
  • Multimodal Integration: Analyzes text, audio, video, and images while integrating with Google Workspace.

How to Use NotebookLM

Here’s how I used NotebookLM to upload my sources and search through them:

  1. Sign In to Your Google Account
  2. Create a Notebook
  3. Upload Your Sources
  4. Familiarize Yourself with the Interface
  5. Ask the Chatbot a Question
  6. Select a Source for a Summary
  7. Copy the Chat to Your Clipboard

Step 1: Sign In to Your Google Account

Selecting "Try NotebookLM" on the NotebookLM homepage.

I started by going to notebooklm.google and selecting “Try NotebookLM.”

Step 2: Create a Notebook

Creating a new notebook with NotebookLM.

The first step is creating what Google calls a “notebook.” Think of this as your workspace for a specific project or topic.

I usually create separate notebooks for different blog series or research topics. This keeps everything organized and prevents me from getting that overwhelming feeling when all my research is jumbled together.

After signing in with my Google account, I hit “Create new notebook.”

Step 3: Upload Your Sources

Uploading files to NotebookLM.

From here, NotebookLM asked me to add my sources. Here were my upload options:

  • Directly from my device (as PDF, .txt, Markdown, or Audio files)
  • Google Drive (Docs or Slides)
  • As a link (a website or YouTube)
  • As pasted text

Don’t upload too many documents at once. I’ve found that starting with 3-5 core documents works best, and then you can add more as needed.

Step 4: Familiarize Yourself with the Interface

My sources were located on the left, the chatbot was in the middle, and the Studio with an Audio Overview and Notes were on the right. As with all things Google creates, everything was really clean and organized.

Step 5: Ask the Chatbot a Question

The chatbot on NotebookLM.

The main interaction happens through prompts or questions you ask about your content through the chatbot in the middle.

Keep in mind that vague questions like “Tell me about this topic” don’t work as well as specific queries like “How does NotebookLM help with note-taking?” If you’re unsure what to ask, there are some suggestions at the bottom.

The NotebookLM chatbot providing a response to a question.

I decided to take the chatbot for a spin and asked it, “How does NotebookLM help with note-taking?” Within seconds, I got a response with clickable citations that link back to the exact location in my source documents!

This saves countless hours of hunting through texts to verify information or find the perfect quote. No more ctrl+F and scrolling through endless pages. It also keeps track of your conversation history, which is helpful when building on previous questions.

Deselecting sources when using NotebookLM.

NotebookLM automatically pulls information from the uploaded sources. If I ever wanted to exclude any of my sources, I could always deselect them by hitting the checkmark next to the source.

Step 6: Select a Source for a Summary

Getting NotebookLM to generate a summary with key topics.

Selecting one of the sources gives me a generated summary with clickable key topics I could explore deeper within the chatbot. This lets me quickly navigate relevant information and dive into specific topics, saving time and making finding what I need more efficient.

Step 7: Copy the Chat to Your Clipboard

Copying a conversation from the NotebookLM chatbot.

If you want to copy a conversation, just hit the copy button on the bottom left within the chat.

Overall, NotebookLM has streamlined my research and note-taking process by allowing me to organize and access relevant information from my sources. The ability to ask specific questions and get precise answers has significantly improved my workflow and saved me valuable time!

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