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Google NotebookLM Upgraded with Mind Maps and Multilingual Output Feature

Google’s NotebookLM now includes Mind Maps for visual organisation and an Output Language Selector for multilingual responses, enhancing productivity for global users.

Pragati Chougule

Google has upgraded its experimental AI-powered notetaking tool, NotebookLM, with two major new features: Mind Maps and an Output Language Selector. These updates aim to enhance the tool's usability for students, researchers, and professionals, further cementing its position as a next-generation virtual research assistant.

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The Mind Maps feature allows users to visualize connections between ideas, topics, and key points extracted from their notes or uploaded documents. This functionality is particularly useful for brainstorming, project planning, and synthesizing large amounts of information into structured insights. Users can upload documents (e.g., Google Docs) and have NotebookLM automatically generate a mind map that highlights relationships between concepts, making it easier to understand complex material.

With the new Output Language Selector, users can now choose the language in which NotebookLM provides responses.This feature supports multilingual users and global teams by enabling outputs in multiple languages, making it ideal for researchers, educators, and content creators working in diverse linguistic environments.

NotebookLM, initially unveiled as "Project Tailwind" at Google I/O 2023, is designed to function as a personalized AI-powered notebook. It leverages advanced language models to help users synthesize information from their own notes and documents. Unlike traditional AI chatbots, NotebookLM is grounded in user-provided content, such as Google Docs. This ensures that the AI’s responses are tailored to the user’s specific materials, reducing inaccuracies or hallucinations.

Google emphasizes its commitment to responsible AI development with NotebookLM. The tool only accesses user-selected content and does not use uploaded data for training new AI models. All interactions remain private and secure, adhering to Google's stringent AI Principles.

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