we train our bot for certain flow, and if the user input does not fit in the flow or it is is out of scope question… then as per my knowledge and from certain examples I got,
- we can create one intent out_of_scope and set any random examples there.
and second i guess
- we can use fallback policy, based on that if confidence is below the certain number then our bot can act accordingly.
What is the best way? I guess fallback policy is the best way?