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  • Google NotebookLM | AI Research Tool Thinking Partner
    Meet NotebookLM, the AI research tool and thinking partner that can analyze your sources, turn complexity into clarity and transform your content
  • NoteLLM - Smart Voice Note Assistant
    Say goodbye to tedious manual typing NoteLLM converts your voice into text notes with multi-language support for English, Chinese, Japanese, and Korean
  • Sign in - Google Accounts
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  • Google NotebookLM | AI Study Tool for Students
    Level up your studying with NotebookLM, the AI tool for students that can summarize lecture notes, create study guides and help you learn new topics faster
  • Getting Started | NoteLLM - Smart Voice Note Assistant
    NoteLLM is a voice-to-notes app that turns your spoken words into written text with a single tap Whether you are capturing meeting notes, journaling on the go, or jotting down quick ideas, NoteLLM makes it effortless
  • Nostell | West Yorkshire | National Trust
    Discover Nostell’s grand interiors, remarkable collections, and Chippendale treasures in an 18th Century house rich with history, design, and craftsmanship Last entry to the house is at 3:15pm
  • Nostell - Wikipedia
    Nostell is an estate about 4 miles ESE of Wakefield the City of Wakefield in West Yorkshire, England It is in the civil parish of Huntwick with Foulby and Nostell which had a population of 90 in 2001, [1] and 164 at the 2011 census (including Wintersett) [2]
  • How I Fell in Love with NoteLLM - Medium
    From summaries to mind maps to audio overviews, this tool changed how I think It all started with one PDF I wasn’t just reading anymore I was interacting with knowledge Additionally, you can
  • Source Code for NoteLLM and NoteLLM-2 - GitHub
    Source code for NoteLLM and NoteLLM-2 Contribute to Applied-Machine-Learning-Lab NoteLLM development by creating an account on GitHub
  • NoteLLM: A Retrievable Large Language Model for Note Recommendation
    In this paper, we propose a novel unified framework called NoteLLM, which leverages LLMs to address the item-to-item (I2I) note recommendation Specifically, we utilize Note Compression Prompt to compress a note into a single special token, and further learn the potentially related notes' embeddings via a contrastive learning approach





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