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Rasa Core kicks up the context for chatbots

Rasa Core kicks up the context for chatbots
From TechCrunch - October 4, 2017

Context is everything when dealing with dialog systems. We humans take for granted how complex even our simplest conversations are. Thats part of the reason why dialog systems cant live up to their human counterparts. But with an interactive learning approach and some open source love, Berlin-based Rasa is hoping to help enterprises solve their conversational AI problems.

The premise of Rasa Core is similar to the approach of a lot of AI startups that use services like Amazon Mechanical Turk to correct for uncertainty faced by machine learning models. But instead of Turk, Rasa built its own platform that allows anyone to train and update models by engaging in sample conversations with bots under construction.

You can see this playing out in the image above. Rasa Core suggests the most probable pre-programmed action that a given user is looking to perform. The trainer can then either reaffirm the correct decision or correct for an error. After a correction, the model adapts and the next time its faced with a similar situation, it wont need to question it.

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