NotebookLM's upgrades include a 1M token context window, auto-save, and customizable goals, enhancing AI research for document analysis.

Google's NotebookLM now features Gemini's 1 million token context window, auto-save chats, and customizable goals, boosting AI research and note-taking for academics and professionals.
With Gemini models, NotebookLM analyzes large document sets without losing context, improving insights for researchers using note-taking apps and research tools.
Auto-save preserves chat history, enabling flexible sessions. Custom goals and personas aid various roles, valuable for AI writing tools and conversational AI tools users.
NotebookLM's upgrades make it a strong AI assistant for document analysis, with expanded context, saving, and personalization driving intelligent research support.
The 1 million token context window allows NotebookLM to process and analyze much larger document collections while maintaining understanding of complex relationships between different sources, significantly improving research accuracy and insight quality.
Auto-save preserves all conversation history, enabling users to pause and resume research sessions without losing context, supporting more flexible workflows where ideas develop over multiple sessions.
Users can set specific goals and personas for each chat, tailoring the AI's behavior to their needs, such as acting as a student or writer.
NotebookLM can process various documents, including academic papers, research datasets, and creative writing, leveraging the large context window.
The 1 million token context window is available across all subscription tiers, making advanced features accessible to more users.