"Users can click the configuration icon in the chat feature and explain how they want their chat to behave. Google's examples range from asking chat to treat the user like a PhD candidate, asking probing questions and identifying pitfalls in the user's argument, to asking chat to analyze provided information from three differing perspectives. Once your chat preference is set, it remains for the duration of your exchange. This feature should deliver more satisfying results and an in-depth understanding of the provided material."
"Google also announced an expansion of NotebookLM's processing capabilities, conversation context, and history. Gemini's 1 million token context window is now available on NotebookLM in all plans. Google said multiturn conversation capacity is now more than sixfold what it was, offering more relevant results over longer conversations. Users can also enjoy saved chat history, another long-awaited feature. Google said saved chats will help users finish long-term projects, allowing them to close a session and open it later without losing history."
Google upgraded NotebookLM by adding user-configurable chat behavior, expanded processing capacity, and saved chat history. Users can set a chat's role, voice, or goal via a configuration icon so the assistant responds as a PhD candidate, asks probing questions, or analyzes information from multiple perspectives. Once set, preferences persist for the exchange. NotebookLM now supports Gemini's 1 million-token context window across all plans, increasing multi-turn conversation capacity more than sixfold to maintain relevance in longer exchanges. Saved chats let users pause and later resume long-term projects without losing conversation history. Feature rollout will be available to all users next week.
Read at ZDNET
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