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English(EN) DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution

DataPraxis框架为AI代理合成5000个分析任务

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种名为DataPraxis的新框架，用于合成旨在训练通用AI代理的分析任务。该框架通过经验证的发现和工件来增强工作空间，逐步揭示更深层次的问题并验证分析结果。利用DataPraxis，创建了一个包含5000个已验证轨迹的数据集，称为DataPraxis-5K，用于训练两个模型：DataPraxis-27B和DataPraxis-35B-A3B。DataPraxis-27B模型在DABStep和JobBench等基准测试中取得了有竞争力的分数，表现与GLM-5.2等当前前沿模型相当或超越。 AI

影响 该框架和数据集有望加速开发更强大的AI代理，以应对复杂的分析任务。

排序理由 该集群描述了一篇关于用于训练AI代理的框架和数据集的新研究论文。[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 →

DataPraxis框架为AI代理合成5000个分析任务

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该集群描述了一篇关于用于训练AI代理的框架和数据集的新研究论文。[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) · Nan Jia, Wenxuan Shi, Jingqing Ruan, Zhizhao Zeng, Tianyi Zhai, Zhongda Su, Feng Hong, Zhengyu Chen, Wenhao Yan, Haojin Yang, Siqi Dai, Weipeng Zhang, Ke Zeng, Xunliang Cai ·

    DataPraxis：通过已验证的工作空间演进扩展分析任务

    arXiv:2610.26924v1 Announce Type: new Abstract: General-purpose agents are increasingly expected to perform professional analytics work, which requires sustained reasoning, iterative investigation, and reliable evidence. Training these capabilities requires diverse and challengin…

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