在数字化时代，普通人想要从庞大的数据库中获取信息时，往往需要学会复杂的SQL查询语言，就像要用外语与计算机对话一样困难。而这项由波兰弗罗茨瓦夫科技大学人工智能系的Dzmitry Pihulski、Karol Charchut、Viktoria ...

波兰弗罗茨瓦夫科技大学的研究团队在 arXiv 预印本平台发表了一项引人注目的研究（论文编号：arXiv:2510.02350v1），他们重新构建了经典数据集 WikiSQL，旨在提升 AI 模型理解自然语言并生成 SQL 查询的准确性。这项研究为普通用户提供了更便捷的数据库交互方式，有望推动 AI 技术在商业智能和数据分析领域的广泛应用。

This ranked list focuses on solutions that help large organizations operationalize trusted data at scale. Selection criteria ...

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust.

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