摘要
阐述大型训练模型在数据采集、数据集成、数据分析中的作用,可以弥补现有联网审计的缺陷。以ChatGPT为例,提出基于大型训练模型的联网审计系统平台架构模型设计和数据采集的模型构建。
This paper describes the role of large-scale training models in data collection,data integration,and data analysis,which can compensate for the shortcomings of existing online auditing.Taking ChatGPT as an example,this paper proposes the architecture model design and data collection model construction of an online audit system platform based on a large-scale training model.
作者
章凯
ZHANG Kai(COSCO Shipping Technology(Beijing)Co.,Ltd.,Beijing 100708,China)
出处
《集成电路应用》
2024年第5期238-239,共2页
Application of IC
关键词
大型训练模型
联网审计
计算机架构模型
large-scale training models
network auditing
computer architecture models