Group 1 - The core viewpoint of the articles highlights the increasing demand for secure AI large model integrated machines in response to the risks associated with deploying AI models, emphasizing the need for robust security measures in their development and operation [1][2][3] - The China Academy of Information and Communications Technology (CAICT) has initiated a security capability assessment for large model integrated machines, focusing on various security dimensions such as infrastructure, system, model, and application security [1] - The launch of the "Yuanfang" native security large model integrated machine by Yongxin Zhicheng aims to address security issues by embedding security features into the architecture, data processing, algorithm training, and workflow management from the outset [2][3] Group 2 - Yongxin Zhicheng's "Yuanfang" product line includes solutions tailored for both general AI needs and specific industries like finance and manufacturing, utilizing continuous pre-training and fine-tuning techniques [3] - The deployment options for the "Yuanfang" series include single-machine setups and elastic deployment on private clouds, compatible with domestic ecosystems and various domestic inference cards [3] - Yongxin Zhicheng emphasizes the high cost-effectiveness, controllability, and security of its AI privatization solutions, aiming to assist enterprises in their intelligent transformation journey [3]