Rail transit is the backbone of urban transportation networks and an important engine for urban development and economic growth.The intelligentization of rail transit has gradually become a hot spot of research in recent years,among which the vertical large model shows great potential for development in the field of rail transit.The paper explores the feasibility of a vertical large scale model for rail transit,analyzes the architecture of the model and the modeling steps,and discusses subsequent maintenance and optimization measures for the model.In accordance with the results of training,the advantages and characteristics of the model is explored for its application in query and answer of professional knowledge,intelligent decision-making,documentation and office,image recognition and personnel training in the field of rail transit,laying a foundation for the continuous development of vertical large scale models for rail transit in the future.
large language modelvertical large scale modelgenerative AIintelligentization of rail transit
万方数据
维普
