面向电网客服的大语言模型数据处理和训练OA

With the rapid development of Internet technology,enterprise digital transformation has become an inevitable trend,intelligent customer service as an important part of the enterprise,its digital upgrade is particularly critical.Traditional intelligent customer service relies on a lot of manpower and material input,and the efficiency is low.In this paper,an intelligent customer service system is designed for power grid field,and a large model data processing and training method is proposed to effectively solve the problem of data acquisition and preprocessing.The system can intelligently reply to common work order problems,quickly and accurately provide solutions or suggestions,significantly improve work order processing efficiency,and reduce manual intervention time and workload.Experimental results show that the system outperforms traditional methods in intent recognition and dialogue success rate,achieving an average improvement of approximately 18.7%.