Next-Generation Data Management via Large Language Models


At the 9th International Summer School on AI and Big Data, Prof. Dr. Immanuel Trummer (Cornell University) will talk about Next-Generation Data Management via Large Language Models. The keynote will take place on Wednesday, 05.07.2023 from 09:00 a.m. – 10:30 a.m.

Keynote: Next-Generation Data Management via Large Language Models

The past years have been marked by several breakthrough results in the domain of generative AI, culminating in the rise of tools like ChatGPT, able to solve a variety of language-related tasks without specialized training. In this talk, I outline novel opportunities in the context of data management, enabled by these advances. I discuss several recent research projects at Cornell, aimed at exploiting advanced language processing for tasks such as parsing a database manual to support automated tuning, or mining data for patterns, described in natural language. Finally, I discuss our recent and ongoing research, aimed at synthesizing code for SQL processing in general-purpose programming languages, while enabling customization via natural language commands.

Prof. Dr. Immanuel Trummer

Prof. Dr. Immanuel Trummer is an assistant professor at Cornell University and heads the Cornell Database Group. His papers were selected for “Best of VLDB”, “Best of SIGMOD”, for the ACM SIGMOD Research Highlight Award, and for publication in CACM as CACM Research Highlight. His online lecture introducing students to database topics collected over a million views. He received the NSF CAREER Award and multiple Google Faculty Research Awards.

Read more about the 9th International Summer School on AI and Big Data.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut