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English(EN) DynAMO:Dynamic Asset Management Orchestration via Topological Multi-Agent Scheduling

新的DynAMO引擎提升了工业自动化中LLM智能体的效率

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了DynAMO，一个旨在提高工业自动化中LLM驱动的智能体的效率和安全性的新引擎。DynAMO采用带有拓扑多智能体调度的“计划-然后执行”架构，创建可验证的工作流图，支持顺序和并行执行。在AssetOpsBench基准测试上的实验表明，DynAMO通过并行化和受控的推理重叠，可以将端到端延迟最多降低1.8倍，同时在故障注入下保持鲁棒性。 AI

影响 DynAMO的并行调度和上下文剪枝方法可以显著加速LLM智能体在实际工业应用中的部署和性能。

排序理由 该集群包含一篇详细介绍LLM智能体编排新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的DynAMO引擎提升了工业自动化中LLM智能体的效率

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该集群包含一篇详细介绍LLM智能体编排新系统的研究论文。[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) · Kanishk Kushwaha, Vikrant Vinod Bansode, Harsh Vardhan, Dhaval C. Patel ·

    DynAMO：通过拓扑多智能体调度实现动态资产管理编排

    arXiv:2606.19382v1 Announce Type: cross Abstract: While LLM-powered agents offer end-to-end automation for industrial asset lifecycles, real-world Industry 4.0 deployment is hindered by latency, concurrency instability, and safety risks. We present DynAMO (Dynamic Asset Managemen…

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