• Unlocking HTML's Potential: The Future of Retrieval-Augmented Generation

  • 2024/12/06
  • 再生時間： 1分未満
  • ポッドキャスト

Unlocking HTML's Potential: The Future of Retrieval-Augmented Generation

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  • In this episode of 'Unzip', our hosts, Hope, Ryan, and Vivian, explore the cutting-edge research presented in the recent paper on HtmlRAG. Delving into how HTML can enhance retrieval-augmented generation systems, they discuss the innovative methodologies tackling HTML's semantic capabilities and its potential applications in AI technology. With insights from authors Jiejun Tan, Zhicheng Dou, and Wen Wang, the episode unpacks the transformative implications of adopting HTML formats over traditional plain text. Tune in for an enlightening discussion on what this means for AI's future efficiencies and industry applications. Presented by our sponsor, LimitLess AI.paper: HtmlRAG link: https://arxiv.org/abs/2411.02959v1
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あらすじ・解説

In this episode of 'Unzip', our hosts, Hope, Ryan, and Vivian, explore the cutting-edge research presented in the recent paper on HtmlRAG. Delving into how HTML can enhance retrieval-augmented generation systems, they discuss the innovative methodologies tackling HTML's semantic capabilities and its potential applications in AI technology. With insights from authors Jiejun Tan, Zhicheng Dou, and Wen Wang, the episode unpacks the transformative implications of adopting HTML formats over traditional plain text. Tune in for an enlightening discussion on what this means for AI's future efficiencies and industry applications. Presented by our sponsor, LimitLess AI.paper: HtmlRAG link: https://arxiv.org/abs/2411.02959v1
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