Conversational AI is becoming a key part of various products at Facebook, including Portal, Messenger suggestions, Marketplace, recommendations, to name just a few. Being able to ship delightful conversational experiences means we also need to invest in solving hard research problems in areas such as language understanding, dialog management and language generation. In this talk, I will talk about some of the current work we're doing in these areas, as all as work we've done with Pytorch in order to enable our research scientists to quickly prototype and deploy advanced NLP models.
Rushin Shah is an Engineering Leader at Facebook, currently working on natural language understanding and dialog. Previously, he was at Siri at Apple for 5 years, where he built and headed the natural language understanding group, which included teams dedicated to modeling, engineering and data science. He also worked at the query understanding group at Yahoo. He has worked on a broad range of problems in the NLP area including parsing, information extraction, dialog and question answering. He holds degrees in language technologies and computer science from Carnegie Mellon and IIT Kharagpur.