NLU training best practice with QBox CTO, Benoit Alvarez
One of the most important, yet under-rated and under-resourced areas of conversational AI implementations is managing and improving your bot over time. Lots of time and effort is spent in the design, build and QA phase, but it’s not until you put your solution live in front of users that you really understand how people actually use it and whether what you’ve built meets the real needs of your users.
In many cases, it doesn’t. And that’s ok, as long as you’re monitoring, iterating and improving it over time. This is where QBox comes in.
CTO, Benoit Alvarez, joins us to share more about QBox, the problems it solves and best practice for training and maintaining your NLU systems.