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English(EN) LM-DSB: A Lightweight Multi-agent System for Automated Daily Safety Bulletin Generation in Construction

AI系统使用Llama 3-8B自动化建筑安全公告

研究人员开发了一种轻量级多智能体DSB系统(LM-DSB),用于自动化建筑行业日常安全公告的创建。该系统利用检索增强生成(RAG)和本地部署的大型语言模型(LLM),特别是Llama 3-8B,在消费级硬件上生成这些公告。LM-DSB架构采用专门的智能体进行规划、研究和写作,并已在建筑安全文档上进行了微调。评估表明,多智能体RAG系统在文档生成和连贯性方面显著优于其他配置,专家评估也证实了其在实际应用中的可接受性,尤其是在法规遵从和事实准确性方面。 AI

影响 为IT资源有限的行业中安全关键文档的AI工具提供了民主化访问。

排序理由 详细介绍新AI系统及其评估的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI系统使用Llama 3-8B自动化建筑安全公告

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详细介绍新AI系统及其评估的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xianxiang Zhao, Advik Mehta, Falak Sethi, Brian Gue, Qipei Mei, Lingzi Wu ·

    LM-DSB:一种用于建筑业自动化日常安全公告生成的轻量级多智能体系统

    arXiv:2610.36433v1 Announce Type: new Abstract: Construction safety management still struggles to produce daily safety bulletins (DSBs), structured daily communications that identify site-specific hazards, convey safety protocols, and set preventive measures for workers. Manual D…