摘要
传统数据治理面临数据量增长、种类多样、人工低效等问题,大模型的引入带来了新希望。大模型具有数据海量化、知识网络化、交互智能化等特点,在数据治理中能快速分析数据、挖掘潜在价值,为实现自动化、智能化数据治理带来了机遇。大模型能力服务利用Prompt工程、Embedding、LangChain框架和RAG检索整合功能等关键技术,为数据治理提供了决策支持,有利于完善治理体系。在金融和医疗行业,大模型发挥着重要作用,推动了智能化转变。
Traditional data governance faces problems such as increasing data volume,diverse types,and low efficiency of manual labor.The introduction of large models brings new hope.Big models have the characteristics of massive data,networked knowledge,and intelligent interaction.They can quickly analyze data and explore potential value in data governance,bringing opportunities for achieving automated and intelligent data governance.The big model capability service utilizes key technologies such as Prompt engineering,Embedding,LangChain framework,and RAG retrieval integration function to provide decision support for data governance and continuously improve the governance system.In the financial and healthcare industries,big models play an important role in driving the transformation towards intelligence.
作者
张延
ZHANG Yan(China Unicom Digital Technology Co.,Ltd.,Beijing 100013)
出处
《中国科技纵横》
2025年第1期17-20,共4页
China Science & Technology Overview
关键词
大模型服务
数据治理
行业应用模型
模型派生治理
large model service
data governance
industry application model
model derivation governance
