Research on the Intelligent Information Analysis Mode Driven by Natural Language Prompting
[Purpose/significance]The large language model(LLM)has triggered global interest in generative artificial intel-ligence(GAI).Integrating LLMs with information analysis opens new research opportunities in the era of data intelligence.Natural language prompting plays a key role in effectively enhancing LLM performance and meets the needs of information analysts.[Meth-od/process]This paper discusses prompt-driven intelligent information analysis,outlines its key features,and proposes a natural language prompt-driven mode.It includes a human-in-the-loop workflow and a natural language prompt engineering framework.Ad-ditionally,it explores the challenges and safeguards in implementing this mode.[Result/conclusion]The proposed mode leverages natural language prompts and a human-in-the-loop approach,aligning analysts'expertise and judgement with the capabilities of LLMs.This human-computer collaborative approach offers a novel perspective for information analysis in the data intelligence era.
intelligent information analysislarge language modelnatural language promptinghuman-in-the-loopprompt engineering
万方数据
维普
