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图7-1 2022-2024年AI开发者省域指数分布统计

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所属报告：

北京大学：2025数字生态指数报告（87页）.pdf

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随着人工智能技术的迅猛发展，大模型已成为推动产业智能化升级的关键驱动力，进入高速发展的新阶段，技术迭代的速度前所未有，越来越多的企业投入到大模型的研发和应用中。围绕大模型的研发和产业应用，汇聚了大量AI技术人才，开发者社区蓬勃发展，迎来了高速增长期。的框架层，飞桨与文心大模型联合优化，支撑文心大模型能力拓展和效率提升，“深度学习平台+大模型” 逐步形成完善的产品矩阵与开放平台体系，结合企业级工具和生态网络，支撑开发者与行业用户快速接入，助力千行百业智能化转型。飞桨在教育生态、企业生态、硬件生态、开发者生态等方面凝聚了大批开发者与合作伙伴，持续赋能区域发展与人才培养，助力人工智能生态构建与产业智能化升级。研究各省份和地级市的飞桨应用情况的指数，有助于系统性梳理我国重点城市的人工智能开发和应从AI开发者城市分布结果来看,2024年,北京、上海、广州等一线城市的AI开发者全国占比较高, 此外武汉、成都、杭州等新一线城市 AI开发者生态繁荣。从AI开发者数量增长来看，北京、广州、用能力，有助于综合反映各城市人工智能发展水平。基于人工智能平台应用指数研究成果，可以帮助各城市发现人工智能领域的人才分布情况和发展潜力，为各城市人工智能人才培养和人才引进提供方向性武汉、成都、上海、杭州、深圳、南京等城市增量排名领先。指引，为人工智能领域政策制定提供决策参考，对我国人工智能产业发展具有积极的推动作用。本指数在现有研究的基础上，引入近三年各城市 AI开发者数据、各城市及行业应用人工智能企业数量。此数据由百度 AI开放平台提供，通过对调用此平台的开发者进行抽样，可以查看全国不同地区的 AI 开发者分布情况、以及应用人工智能企业的行业分布情况。此数据包含使用此平台的所有开发者规模，涉及2022年～2024 年近三年全国31个省级行政区的地级市（不包含港澳台）；以及各城市及行业应用人工智能的企业数量。在数据处理过程中，不断优化数据处理方式，最大程度降低因由数据本身带来的误差及影响，以期尽可能真实反映城市间实际差异。关于城市范围选择，通过对地级市进行省汇聚、对各地级市统计数据进行初步分析，确定本地研究范围，包括全国31个省份，以及 20个重点城市。关于缺失值处理，少数源数据观察值缺失时，以〇替换处理。随着大模型技术的广泛应用，飞桨+文心生态的AI开发者数增长迅猛。根据百度世界 2024 发布的数据显示，截至2024年11月，飞桨文心开发者数量已达1808万，相较于2021年增长超 200%。同时，从AI开发者省域分布来看，除了广东、江苏、上海、浙江、山东等沿海省市，湖北、河南、四川等中部省份的 AI开发者也增长迅猛。在华北地区，北京市AI开发者数量首屈一指，实现数倍增长。在华南地区，广东省的 AI开发者数量遥遥领先，广西省的AI开发者增长率也非常可观; 在华中地区，湖北省和河南省的AI开发者位于前列。东北地区的辽宁省、西北地区的陕西省、西南地区的四川省和重庆省 AI 开发者数量领先。

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