From Large Language Models to Databases and Back: A discussion on research and education

TL;DR

This paper discusses the interplay between large language models and database research and education, exploring benefits, challenges, and risks associated with integrating LLMs like ChatGPT into data science.

Contribution

It provides a comprehensive discussion on how LLMs can enhance and impact database research and education, highlighting potential benefits and risks.

Findings

LLMs can improve data science education and research.

There are significant risks and challenges in integrating LLMs with databases.

The discussion emphasizes the need for careful evaluation of LLMs in data contexts.

Abstract

This discussion was conducted at a recent panel at the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), held April 17-20, 2023 in Tianjin, China. The title of the panel was "What does LLM (ChatGPT) Bring to Data Science Research and Education? Pros and Cons". It was moderated by Lei Chen and Xiaochun Yang. The discussion raised several questions on how large language models (LLMs) and database research and education can help each other and the potential risks of LLMs.