Adoption of messaging communication and voice assistants has proliferated in the last years. It creates a demand for tools that speed up prototyping of feature-rich dialogue systems, but most voice and chat systems in production are still implemented using a state machine and a set of rules.

An open-source library DeepPavlov is tailored for the development of production-ready chatbots and complex conversational systems, NLP and dialogue systems.

In this session, we will explore how to develop chatbots with DeepPavlov and why TensorFlow is an indispensable tool in doing so. Using DeepPavlov, we'll assemble Sequence-to-sequence chit-chat skill, question answering skill or task-oriented skill.