Google's NotebookLM Transforms Learning with New Flashcards and Quiz Features

Reviewed byNidhi Govil

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Google's NotebookLM receives a major update introducing flashcards and quiz capabilities, along with improved chat functionality and larger context windows, positioning it as a comprehensive AI-powered study companion.

Major Update Transforms NotebookLM into Interactive Study Tool

Google's NotebookLM, the AI-powered research and study assistant, has received its most significant update to date with the introduction of flashcards and quiz capabilities. The new features, rolling out across web, Android, and iOS platforms, transform the tool from a passive document summarizer into an active learning companion that tests users' knowledge retention

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Source: ZDNet

Source: ZDNet

The flashcard feature allows users to create customizable study sets by pulling information directly from their uploaded sources. Users can adjust the difficulty level, number of cards, and specific topics they want to focus on. The quiz functionality generates personalized tests based on uploaded materials, with users able to select which sources the AI should draw from when creating questions

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Source: engadget

Source: engadget

Enhanced Mobile Experience and Performance Improvements

Alongside the study features, Google has significantly upgraded NotebookLM's mobile chat capabilities. The latest update delivers a four-fold increase in context window size and six-fold improvement in conversation memory, powered by Google's newest Gemini models. These enhancements result in approximately 50% better overall chat quality, making mobile interactions more coherent and contextually aware

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Source: Android Authority

Source: Android Authority

Users can now customize chat interactions to adopt specific roles or perspectives, such as directing the AI to act as a "scrutinizing professor" or analyze sources from multiple viewpoints. This level of personalization extends to the flashcard and quiz features, where custom prompts can focus testing on specific aspects of uploaded materials

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Source-Grounded Approach Sets NotebookLM Apart

What distinguishes NotebookLM from other AI tools is its source-grounded methodology, which significantly reduces hallucinations by limiting responses to user-uploaded materials. Each claim made by the AI includes citations that link directly to the relevant section in the source documents. When information isn't explicitly available in uploaded sources, NotebookLM transparently communicates this uncertainty rather than generating potentially inaccurate content

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This approach proves particularly valuable for students and professionals who need reliable, context-specific information. The tool maintains separate notebooks for different projects, preventing context bleeding between unrelated materials and ensuring focused, relevant responses

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Real-World Applications and User Experience

Early users report significant improvements in information retention and study efficiency. The flashcard and quiz features leverage retrieval practice, a proven learning science principle that strengthens memory through active recall rather than passive rereading. Professional users find the tool valuable for retaining information from research documents, meeting notes, and academic papers

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The free tier of NotebookLM allows users to create up to 10 flashcard sets daily, making the enhanced features accessible to students and casual users. The tool works best with clean, text-heavy documents, though users should review and edit generated content as part of the learning process

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