A Technology for Building a Data Collaborative Service Platform Based on Large Models
With the development of intelligent services,more and more data is being integrated to form super complex service systems.The data generated by various applications in the system is large in scale,diverse in types,fast in generation speed,and semantically complex,which makes data collaboration extremely difficult.Large models have strong understanding and generation capabilities,providing a cross database table collaborative empowerment mode with complex semantic connectivity,which facilitates efficient interaction between data.This article proposes a novel data collaboration service mechanism based on large models,and proves through experiments that it can effectively improve the interaction performance of various types of data in the platform.