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

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

Research output: Contribution to journalJournal articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)49-56
Number of pages8
JournalSIGMOD Record
Volume52
Issue number3
DOIs
Publication statusPublished - Sept 2023

Scopus Subject Areas

  • Software
  • Information Systems

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