The Rise and Design of Enterprise Large Language Models

IF 5.6 3区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Intelligent Systems Pub Date : 2024-02-28 DOI:10.1109/mis.2023.3345591

Daniel E. O’Leary

引用次数: 0

Abstract

This article investigates a new phenomenon of enterprise large language models (ELLMs) focusing on what they are, why they are being developed, and what are some key capabilities. In addition, the article drills down on issues associated with integrating retrieval augmented generation approaches into ELLMs, including emerging research issues.

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企业大型语言模型的兴起与设计

本文探讨了企业大型语言模型（ELLMs）这一新现象，重点是它们是什么、为什么要开发它们以及有哪些关键功能。此外，文章还深入探讨了与将检索增强生成方法集成到 ELLM 相关的问题，包括新出现的研究课题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Intelligent Systems 工程技术-工程：电子与电气

CiteScore

13.80

自引率

3.10%

发文量

122

审稿时长

1 months

期刊介绍： IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.