Typically, there are 5 levels of Conversational AI and Level 3 is understood as contextual assistants, where the user no longer needs to know how to use the assistant or follow the pre-designed conversational flow.

We recently open-sourced a repository called Multi-Task learning which can help with multiple conversational AI tasks. In this blog, we have explained why such an architecture can change the way we build conversational AI systems and the thought process behind building it. 

Virtual Assistants built today are expected to not just help with frequently asked questions but actually furnish end to end query resolution. In order to be able to provide a holistic & unified experience to end-users, virtual assistants need to be able to carry out these tasks instead of guiding the user or providing a DIY manual.