When built well, AI assistants provide great strategic business value and are fun to interact with. However, the majority of assistants built to this day are developed using just a set of rules and don’t go beyond simple FAQ interactions. This doesn’t scale in production and provides a rather disappointing user experience.
In this interactive talk, we will challenge the usual approach of chatbot development by introducing machine learning-based methods for dialogue management. You will learn the fundamentals of conversational AI, as well as machine learning techniques behind natural language and dialogue management. Finally, you will learn the basics of using Rasa Stack – an open source conversational framework.
Fundamentals of machine learning are beneficial
You can view Christina’s slides below: