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English(EN) PalmClaw: A Native On-Device Agent Framework for Mobile Phones

新的PalmClaw框架使LLM代理能够原生运行在手机上

研究人员开发了PalmClaw,一个开源框架,使大型语言模型(LLM)代理能够原生运行在手机上。与依赖图形用户界面交互的现有系统不同,PalmClaw通过显式工具直接访问设备功能,将任务成功率提高了11.5%,并将完成时间缩短了94.9%。这种设备端方法旨在利用移动设备的可访问性和数据,实现更高效、更可控的代理执行。 AI

影响 使更强大、更高效的AI代理能够直接在用户移动设备上运行,可能增加设备端AI的采用率。

排序理由 该集群描述了一个用于手机的新型开源代理框架,该框架已在arXiv论文中详细介绍。

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 →

新的PalmClaw框架使LLM代理能够原生运行在手机上

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该集群描述了一个用于手机的新型开源代理框架,该框架已在arXiv论文中详细介绍。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Hongru Cai, Yongqi Li, Ran Wei, Wenjie Li ·

    PalmClaw:适用于手机的原生设备端代理框架

    arXiv:2607.13027v1 Announce Type: cross Abstract: Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next action. Most agent systems run on desktops or server…

  2. arXiv cs.AI TIER_1 English(EN) · Wenjie Li ·

    PalmClaw:手机原生设备端代理框架

    Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next action. Most agent systems run on desktops or servers, which support tool use and task automation. Mob…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    PalmClaw:手机的原生设备端代理框架

    Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling tools, observing the results, and iteratively deciding the next action. Most agent systems run on desktops or servers, which support tool use and task automation. Mob…