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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
  • NoteLLM-2来袭：用LLM重塑推荐系统，比多模态大模型更高效！-CSDN博客
    最近，一篇来自中科大 小红书团队的重磅论文NoteLLM-2提出了一种新范式：不依赖预训练的多模态大模型，而是 用现有大语言模型 + 视觉编码器，即插即用地构建表示模型，还巧妙引入“多模态上下文学习 + 延迟融合”机制，让图文推荐效果提升明显，线上实测
  • 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
  • NoteLLM-2: Multimodal Large Representation Models for Recommendation
    Preliminary experiments revealed that fine-tuned LLMs often neglect image content To counteract this, we propose NoteLLM-2, a novel framework that enhances visual information
  • NotebookLM：你理想的学习搭子 - 知乎
    快速开始 如何最大化NoteLLM能力 功能特色 术语表 常见问题 NotebookLLM 用作帮助中心和指引 NotebookLLM用于研究 NotebookLLM用于整理会议稿 采访稿 这样我们就快速知道了，NotebookLLM可以面向的几类场景分别是： 知识库：用于一般文档合集辅助阅读 学术研究：用于学术
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  • ‎NoteLLM App - App Store
    Say goodbye to tedious manual typing NoteLLM makes capturing ideas simple and efficient Just speak, and your voice will be converted into text notes, supporting multiple languages including English, Chinese, Japanese, and Korean
  • NoteLLM-2: Multimodal Large Representation Models for Recommendation . . .
    Preliminary experiments revealed that fine-tuned LLMs often neglect image content To counteract this, we propose NoteLLM-2, a novel framework that enhances visual information





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