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English(EN) Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks

大模型智能体协同框架通信效率提升70倍

作者 PulseAugur 编辑部 · [3 个来源] ·

一个名为 LDT-Coord 的新框架已被开发出来，用于改进异构大模型（LLM）驱动的具身智能体的协同。该系统利用轻量级数字孪生来管理通信，与传统的基于自然语言的方法相比，开销显著降低了70倍以上。LDT-Coord 解决了通信成本、大模型能力差异和动作延迟等挑战，实现了与现有方法相当的任务成功率。 AI

影响 该框架可能支持在物理环境中更高效、更可扩展的多智能体人工智能系统的部署。

排序理由 该集群包含一篇研究论文，详细介绍了一个新的大模型智能体协同框架。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

大模型智能体协同框架通信效率提升70倍

报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Nuocheng Yang, Sihua Wang, Zihan Chen, Tony Q. S. Quek, Changchuan Yin ·

    Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks

    arXiv:2607.09330v1 Announce Type: new Abstract: Embodied agent teams powered by heterogeneous large language models (LLMs) are being widely deployed in physical artificial intelligence such as smart factories, warehouses, and service robotics. To enable collaboration among such a…

  2. arXiv cs.AI TIER_1 English(EN) · Changchuan Yin ·

    面向计算力网络的异构大模型具身智能体的高效通信数字孪生协同

    Embodied agent teams powered by heterogeneous large language models (LLMs) are being widely deployed in physical artificial intelligence such as smart factories, warehouses, and service robotics. To enable collaboration among such an agent team, efficient coordination mechanisms …

  3. Mastodon — mastodon.social TIER_1 English(EN) · notatechguy ·

    LLM agent coordination framework cuts communication 70x LDT-Coord uses a lightweight digital twin to coordinate teams of LLM-powered robots, matching convention

    LLM agent coordination framework cuts communication 70x LDT-Coord uses a lightweight digital twin to coordinate teams of LLM-powered robots, matching conventional methods at a fraction of the chatter. https://www. notatechguy.com/llm-agent-coor dination-framework-cuts-communicati…

    链接 notatechguy.com/llm-agent-coordination-fr…

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