Building a Conversational Agent Overnight with Dialogue Self-Play
Currently, AI assistants are developed and deployed in separate phases. First, designers, engineers and researchers create an agent using the latest tools and frameworks, and then the agent is deployed to chat with actual users. This approach creates inflexible agents that are restricted to skills that were encoded by the developers or inferred from the training data. In this talk, Pararth will describe an alternative approach to scale conversational agents to new tasks and enable richer conversational interactions with minimal effort on the part of the dialogue developer.
Pararth is a Research Engineer at Google AI, working on deep learning techniques for conversational AI. He develops new technology for conversational agents that learn from both offline data and online interactions. Previously, he was an early employee at a startup building the next generation software development platform. Pararth has degrees in computer science from Stanford and IIT Bombay.