从大型语言模型到数据库再到数据库:关于研究与教育的讨论

IF 0.9 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Sigmod Record Pub Date : 2023-10-30 DOI:10.1145/3631504.3631518

Sihem Amer-Yahia, Angela Bonifati, Lei Chen, Guoliang Li, Kyuseok Shim, Jianliang Xu, Xiaochun Yang

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引用次数: 3

摘要

近年来，大型语言模型(llm)因其促进自然语言处理(NLP)和生成高质量文本的潜力而受到学术界和工业界越来越多的关注。然而，尽管法学硕士有好处，但它的使用引起了人们对知识提取可靠性的担忧。数据库研究与数据科学的结合在解决现实世界问题(如商品推荐和危害预防)方面取得了进步[30]。在本次讨论中，我们将探讨法学硕士在数据库和数据科学研究和教育方面面临的挑战和机遇。

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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From Large Language Models to Databases and Back: A Discussion on Research and Education

In recent years, large language models (LLMs) have garnered increasing attention from both academia and industry due to their potential to facilitate natural language processing (NLP) and generate highquality text. Despite their benefits, however, the use of LLMs is raising concerns about the reliability of knowledge extraction. The combination of DB research and data science has advanced the state of the art in solving real-world problems, such as merchandise recommendation and hazard prevention [30]. In this discussion, we explore the challenges and opportunities related to LLMs in DB and data science research and education.

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来源期刊

Sigmod Record 工程技术-计算机：软件工程

CiteScore

3.10

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： SIGMOD investigates the development and application of database technology to support the full range of data management needs. The scope of interests and members is wide with an almost equal mix of people from industryand academia. SIGMOD sponsors an annual conference that is regarded as one of the most important in the field, particularly for practitioners. Areas of Special Interest: Active and temporal data management, data mining and models, database programming languages, databases on the WWW, distributed data management, engineering, federated multi-database and mobile management, query processing & optimization, rapid application development tools, spatial data management, user interfaces.

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