Nan Fang Du Shi Bao·2025-10-17 15:53Core Insights - The article discusses the strategic upgrade of Baidu's AI and large model platform, "Baidu Qianfan," which aims to enhance the efficiency of AI agents in enterprise production scenarios [2][3] Group 1: Strategic Upgrade of Baidu Qianfan - Baidu Qianfan has been rebranded to focus more on enterprise production scenarios, providing a one-stop service for model and agent development, as well as data intelligence services [2] - Since its launch in March 2023, Baidu Qianfan has served over 460,000 enterprise clients, with more than 1.3 million agents developed, and daily calls for its unique tool "Baidu AI Search" exceeding 10 million [2] Group 2: Key Features of the New Agent Engine - The upgraded agent engine features a more flexible orchestration architecture, supporting various modes such as autonomous planning and multi-agent collaboration, with performance improvements [3] - The average task latency has decreased by 20%, and the time taken for long tasks has reduced by 40%, ensuring stability and efficiency for enterprise applications [3] Group 3: Tools and Model Services - New tools such as Video AI Notes and Baidu Library have been launched, enhancing agent scalability by integrating third-party services like Tongcheng Travel and Alipay [4] - The platform offers over 150 state-of-the-art models and has enhanced its large model service capabilities, including a new "Active Cache Mode" that can reduce inference costs by up to 80% [4] Group 4: Enterprise-Level Services - Baidu Qianfan provides end-to-end observability, high availability disaster recovery, and fine-grained permission control, ensuring that each agent can function as a reliable "digital employee" available 24/7 [5] - The data intelligence platform offers comprehensive multi-modal data management and processing capabilities, addressing the full lifecycle of data governance for model training and AI applications [5][6] Group 5: Real-World Applications - Baidu Qianfan has been successfully implemented in various enterprise production scenarios, such as the Shenzhen Water Affairs Group, which has improved customer service efficiency and satisfaction rates [7] - In the energy sector, Liwei Zhili has utilized Baidu Qianfan to transform its operational processes, enhancing proactive and intelligent maintenance through agent applications [8] - The platform is also being applied in education as "smart teaching assistants" and in finance for personalized investment advice, showcasing its versatility across different industries [9]