Towards LLM-augmented Database Systems - Carsten Binnig

DSDSD - THE DUTCH SEMINAR ON DATA SYSTEMS DESIGN:
We hold bi-weekly talks on Fridays from 3:30 PM to 5 PM CET for and by researchers and practitioners designing (and implementing) data systems. The objective is to establish a new forum for the Dutch Data Systems community to unite, foster collaborations between its members, and bring in high-quality international speakers. We would like to invite all researchers, especially PhD students, who are working on related topics to join the events. It is an excellent opportunity to receive feedback early on from researchers in your field.

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Title: Towards LLM-augmented Database Systems

Abstract: Recent LLMs such as GPT-4-turbo can answer user queries over
multi-model data including tables and thus seem to be able to even
replace the role of databases in decision-making in the future. However,
LLMs have severe limitations since query answering with LLMs not only
has problems such as hallucinations but also causes high-performance
overheads even for small data sets. In this talk, I suggest a different direction where we use database technology as a starting point and
extend it with LLMs where needed for answering user queries over
multi-model data. This not only allows us to tackle problems such as the
performance overheads of pure LLM-based approaches for multi-modal
question-answering but also opens up other opportunities for database
systems.

Bio: Carsten Binnig is a Full Professor in the Computer Science
department at TU Darmstadt and a Visiting Researcher at the Google
Systems Research Group. Carsten received his Ph.D. at the University of
Heidelberg in 2008. Afterwards, he spent time as a postdoctoral
researcher in the Systems Group at ETH Zurich and at SAP working on
in-memory databases. Currently, his research focuses on the design of
scalable data systems on modern hardware and machine learning for
scalable data systems. His work has been awarded a Google Faculty Award,
as well as multiple Best Paper and Best Demo awards.