Abstract: With the continuous advancement of the transformation of enterprise data intelligence,artificial intelligence technology has begun to be applied to various aspects of enterprise internal management,operation analysis and production efficiency improvement.However,the traditional AI application research and development process involves data acquisition,data cleaning,feature extraction,algorithm modeling,and application research and development.The overall technical threshold is high,the collaboration of team members is difficult,the utilization rate of hardware resources is low,and it is difficult to support the agile landing of digital intelligent business requirements.To solve these problems,a set of AI application service platform based on pre-trained large model is proposed.The platform is mainly designed for AI application research and development and operation management,which greatly reduces the difficulty of team collaboration and asset management.For the core processes in the preparation state,design state and running state,the pre-trained large model and low-code technology are introduced.By constructing the labeled large model,the test large model and the operation large model,the research and development efficiency of AI application is improved.Meanwhile,the real-time analysis of operational data is realized,the user experience is guaranteed and the utilization rate of hardware resources is greatly improved.

Key words: Artificial intelligence application, Research and development services, Intelligent annotation, Automatic test, Operation service