Group 1 - The Baidu Cloud Intelligence Conference 2025 was held on August 28, showcasing the official launch of the 4.0 version of the Qianfan platform, which has transformed into a comprehensive enterprise service platform centered around Agents [1] - The model library of Qianfan 4.0 now includes over 150 models, featuring notable additions such as Baidu's self-developed video generation model "Steam Engine" and customized models for specific industries like finance and visual understanding [1] - A new model fine-tuning toolchain called RFT (Reinforced Feedback Tuning) was introduced, providing developers with more precise model adjustment capabilities [1] Group 2 - The Qianfan Agent service platform has achieved significant breakthroughs with the upgrade of its RAG (Retrieval-Augmented Generation) function to a multimodal RAG, enhancing information processing and generation capabilities [3] - The enterprise-level MCP service has been comprehensively expanded and deepened, incorporating Baidu's unique AI search MCP Server and other core components to offer stronger and more flexible service support for enterprises [3] - The Qianfan data intelligence service platform has undergone a complete upgrade, providing one-stop multimodal data management and processing capabilities, enabling enterprises to efficiently handle and analyze vast amounts of data for more accurate decision-making [3] - Qianfan 4.0 has implemented full-link monitoring of key indicators, links, and logs, offering enterprises comprehensive operational monitoring tools to timely identify and resolve issues, ensuring stable business operations [3]

Core Insights - Baidu's Intelligent Cloud Qianfan platform has officially upgraded to version 4.0, focusing on an Agent-centric one-stop enterprise service platform for developers [1] Model Services - The model library now offers over 150 models, including the newly launched self-developed video generation model "Steam Engine" and specialized models for the financial industry and visual understanding [1] - A new model fine-tuning method called RFT (Reinforced Feedback Tuning) toolchain has been released [1] Agent Orchestration Framework - The Qianfan Agent service platform's RAG has been upgraded to a multimodal RAG [1] - The enterprise-level MCP service has expanded to include unique components such as Baidu's AI search MCP Server [1] - A multi-agent collaboration mode has been introduced [1] Data Management - The Qianfan data intelligence service platform has been fully upgraded to provide one-stop multimodal data management and processing capabilities, maximizing data value at the lowest cost [1] Enterprise Service Capabilities - Qianfan 4.0 can achieve full-link detection of key indicators, links, and logs [1]

Core Insights - Baidu's Intelligent Cloud Qianfan platform has officially upgraded to version 4.0, focusing on an Agent-centric enterprise service platform [1] - The platform provides developers with essential capabilities for Agent development, including model services, Agent orchestration, data, and enterprise-level services [1] Model Services - The model library now offers over 150 models, including the newly launched self-developed video generation model "Steam Engine" [1] - New specialized models have been introduced, such as Qianfan Huijin for the financial industry and Qianfan Visual Understanding [1] - A new model fine-tuning method called RFT (Reinforced Feedback Tuning) toolchain has been released [1]