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
收藏
页码：72 / 75
页数：4
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