Large Language Models and Applications: The Rebirth of Enterprise Knowledge Management and the Rise of Prompt Libraries

被引：1

作者：

O'Leary, Daniel E. ^{[1
]}

机构：

[1] Univ Southern Calif, Marshall Sch Business, Los Angeles, CA 90089 USA

来源：

IEEE INTELLIGENT SYSTEMS | 2024年 / 39卷 / 02期

关键词：

Knowledge management; Cognition; Intelligent systems; Large language models; Enterprise resource planning; Libraries;

D O I：

10.1109/MIS.2024.3366648

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article investigates how large language systems and the apps developed for them provide a platform for enterprise knowledge management. For those resulting systems to provide consistent and accurate responses for knowledge management, enterprises are using different approaches in their prompts, such as few-shot learning, specification of purpose, and chain-of-thought reasoning. As better and more successful prompts are being built, they are being captured and prompt libraries are being created.

引用

页码：72 / 75

页数：4

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