Generative AI has made tremendous progress, with the ability to create everything from realistic images to convincing music compositions. One of the most exciting Generative AI applications is automating software engineering tasks.
In this talk, we’ll explore the latest developments in Generative AI for code and beyond. We’ll dive into how these models work, their potential to solve complex problems and their implications for revolutionizing software development.
We’ll discuss the latest research and open problems in the field, including interpretability and providing a computational model for Transformers. We’ll also examine the practical applications of Generative AI within the context of Tabnine.
By the end of this talk, you’ll have an exciting glimpse into the cutting-edge world of Generative AI for code and beyond. You’ll come away with a better understanding of the incredible possibilities for creating innovative solutions in this research area.
Eran Yahav is a full professor at the Computer Science Department at the Technion – Israel Institute of Technology and co-founder and CTO of Tabnine (formerly Codota). Prior to that, he was a research staff member at the IBM T.J. Watson Research Center in New York (2004-2010). He received his Ph.D. from Tel Aviv University (2005) and his B.Sc. from the Technion in 1996. His research interests include program analysis, program synthesis, and program verification. Eran is a recipient of the prestigious Alon Fellowship for Outstanding Young Researchers, the Andre Deloro Career Advancement Chair in Engineering, the 2020 Robin Milner Young Researcher Award (POPL talk here), the ERC Consolidator Grant as well as multiple best paper awards at various conferences.