6月6日，在2025智能经济论坛上，百度集团执行副总裁、百度智能云事业群总裁沈抖指出，随着基础模型的持续迭代和AI产品体验的不断优化，人工智能 技术正从"能用"走向"好用"，越来越多的领先企业开始在高价值场景中主动布局，推动大模型技术的深度应用。 他强调，百度智能云作为国内领先的云计算服务商，已与65%的央企建立深度合作，共同探索AI创新路径，助力企业加快"智改数转"步伐。 针对医疗领域的痛点，沈抖正式发布了"智慧就医智能体"。他表示，该智能体通过自然语言对话快速理解患者病情，生成结构化的电子病情卡，并在分导 诊、预约挂号、问诊等环节提供辅助支持，有效提升了接诊效率和患者满意度。在武汉协和医院的应用案例中，智慧就医智能体显著缩短了患者等待时间， 提高了医疗资源的利用效率。 在金融领域，沈抖宣布百度智能云正式推出千帆慧金金融大模型。他强调，金融行业对大模型的要求极高，需要具备广泛的知识面、强大的时效性和高度的 准确性。千帆慧金金融大模型通过深度清洗和挖掘海量金融数据，优化了推理与知识增强算法，形成了兼具知识广度与逻辑深度的模型能力。在实际应用 中，该模型能够更精准地识别业务流程关键要素，提升金融机构的服务水平和 ...

6月6日，在2025智能经济论坛期间，百度集团执行副总裁、百度智能云事业群总裁沈抖称，"目前已有 65%的央企选择与百度智能云开展深度合作，共同探索AI创新。"此外，百度智能云还正式发布千帆慧 金金融大模型，并推出了覆盖能源、交通、汽车、医疗、环境等领域的精选行业场景智能体家族。 人工智能要真正融入千行百业，切实释放出提升生产力的效能，就需要构建起与人工智能技术—经济范 式相契合的新型生产关系。 百度智能云依托千帆大模型平台，面向企业用户推出覆盖金融、电力、交通、环保、医疗等多个行业 的"场景智能体"解决方案，推动人工智能在具体业务中从试点走向规模化应用。 面对人工智能技术从基础突破走向产业融合的关键阶段，百度智能云以金融行业为突破口，推出千帆慧 金金融大模型。据介绍，该模型在充分吸收海量金融语料基础上，通过构建金融专用数据生成体系，优 化推理与知识增强算法，形成了兼具知识广度与逻辑深度的模型能力。当前，百度智能云已推出千帆慧 金金融知识增强大模型和千帆慧金金融推理增强大模型，提供 8B 和 70B 两个版本，支持最长 32K 上 下文输入，覆盖金融行业多数场景。 沈抖指出，要做出好的智能体、好的AI应用，国 ...

Core Insights - The 2025 Smart Economy Forum was held in Beijing, focusing on the theme of developing the smart economy and accelerating the construction of a digital China, in line with the national "Artificial Intelligence +" action plan [1] - Baidu's intelligent cloud has seen 65% of central enterprises choose to collaborate deeply with it to explore AI innovation [1][3] - Baidu Intelligent Cloud launched the Qianfan Huijin financial model and introduced a family of intelligent agents covering various sectors such as energy, transportation, automotive, healthcare, and environment [1] Group 1 - Central enterprises are becoming a key force in driving the integration of digital and real economies, with a focus on large model applications [2] - Baidu Intelligent Cloud's Qianfan model platform offers "scene intelligent agent" solutions across multiple industries, promoting the large-scale application of AI in business [2] - The intelligent power supply solution developed in collaboration with State Grid has automated the entire process from user service acceptance to power supply plan generation, significantly improving efficiency [2] Group 2 - Baidu's Qianfan Huijin financial model is designed to support the development of financial technology in China, utilizing a vast amount of financial data to enhance its capabilities [4] - The model offers two versions, 8B and 70B parameters, and supports a maximum context input of 32K, covering most scenarios in the financial industry [4] - The model has outperformed general-purpose models in various tasks, demonstrating its potential to enhance service levels and risk management capabilities in financial institutions [4] Group 3 - Baidu emphasizes the importance of domestic chips for developing effective AI applications and has increased investment in domestic chip and self-developed platform infrastructure [6] - The Kunlun chip P800 has achieved large-scale commercial use, and Baidu has successfully activated the third-generation Kunlun chip clusters in collaboration with major enterprises [6] - Baidu's Baijie platform efficiently schedules and is compatible with various domestic chips, achieving over 95% utilization in training time for large clusters, supporting model development in key national industries [6]