清程极智发布AI Ping平台

Group 1 - The core viewpoint of the articles is the introduction of the AI Ping platform by Qingcheng Jizhi, which focuses on the evaluation, unified access, and intelligent routing of large model services, creating a complete link covering "evaluation - access - routing - optimization" [1][3] - AI Ping currently covers over 30 domestic large model API service providers, providing comparative analysis of model service capabilities under unified standards and methodologies, aiding enterprises in making rational decisions amidst complex model and service choices [1] - The shift in the core tasks of AI infrastructure is highlighted, moving from training and inference of large models to a new stage focused on "intelligent circulation," emphasizing the efficient and stable use of model capabilities in real business scenarios [2] Group 2 - The key to achieving intelligent circulation lies in the construction of intelligent routing capabilities, which includes model routing for selecting the most suitable model for different tasks and service routing for optimizing performance and cost among various API service providers [2] - Qingcheng Jizhi's CEO, Tang Xiongchao, emphasizes the evolving focus of AI infrastructure from training and inference to the higher demands for service stability and efficiency during the application phase, leading to the development of AI Ping as a one-stop AI evaluation and API service intelligent routing platform [3] - The development of a complete AI task distribution network through the collaborative development of model and service routing capabilities is crucial for determining the final efficiency and cost of artificial intelligence systems [2]