How Rasa NLU is moving past Intents

Isn’t it about time we get past intents?

If you have ever developed a Conversational AI agent using NLU, you know how often users don’t follow the happy path.

They may say or type responses that make perfect sense however their responses still fall outside of any intent.

For example, if a user asks about a refund, by typing just their order number, what happens?

What is the intent of that message?

Obviously, the order number is an entity but since there isn’t a clear intent that it’s mapped to, it will trigger a retrieval action that combines all of your intents into a single FAQ and in this way we have already moved past intents and right into context!

RASA is taking this insight to the next level and on May 25th, Alan Nickole, the co-founder and CTO or Rasa will share how RASA is moving beyond intents and using context!

Featured Speaker

Alan Nickole, Co-founder & CTO @ Rasa

NLU: Going Beyond Intents & Entities

In this talk, Alan will share how RASA is going beyond Intents and Entities.

Very exciting talk as we are seeing NLP/NLU going through a major revolution.

Develop your own AI Agent in our Certified NLU Workshop

Join our NLU Workshop on May 27th you can create you own Conversational Agent in our full day workshop and get certified in Conversational AI Development.

How Rasa NLU is moving past Intents 🚀🚀🚀 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

How Rasa NLU is moving past Intents