【BAYES COFFEE HOUSE TECH TALK SERIES】SQL and Large Language Models: A Marriage Made in Heaven?
Paolo Papotti from EURECOM France will give a talk online, for the Coffee House Tech Talk Series. Details of the talk are below.
Title: SQL and Large Language Models: A Marriage Made in Heaven?
Speaker: Paolo Papotti
Registration: https://www.smartsurvey.co.uk/s/D8MKWE/
Time: 06/26(Wed) 14:00-15:00 (UTC+01:00)London
Internal: https://imeeting.huawei.com/meeting/joinwelink?id=99107536&pwd=MjQzNTQ2&token=3oEMH02wIHjJ4IrxhycJe8TDJgQ0C0JJ8&stype=0
External: https://app.huawei.com/wmeeting/join/99107536/3oEMH02wIHjJ4IrxhycJe8TDJgQ0C0JJ8
Meeting ID: 99107536
Passcode: 243546
Abstract:
With the rise of pre-trained Large Language Models (LLMs), there is now an effective solution to store and use information extracted from massive corpora of documents. However, for data-intensive tasks over structured data, relational DBs and SQL queries are at the core of countless applications. While these two technologies may appear distant, in this talk we will see that they can interact effectively and with promising results. LLMs can help users express SQL queries (Semantic Parsing), but SQL queries can be used to evaluate LLMs (Benchmarking). Their combination can be further advanced, with opportunities to query with a unified SQL interface both LLMs and DBs. We present recent results on these topics and then conclude with an overview of the research challenges in effectively leveraging the combined power of SQL and LLMs.
Bio:
Paolo Papotti is an Associate Professor at EURECOM, France since 2017. He got his PhD from Roma Tre University (Italy) in 2007 and had research positions at the Qatar Computing Research Institute (Qatar) and Arizona State University (USA). His research is focused on data management and, more recently, on NLP. He has authored more than 140 publications and his work has been recognized with two “Best of the Conference” citations (SIGMOD 2009, VLDB 2016), three best demo award (SIGMOD 2015, DBA 2020, SIGMOD 2022), and two Google Faculty Research Award (2016, 2020).
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