How is Rasa NLU implemented and how has the design evolved?.How does the interaction model change when going from state machine driven bots to those which use Rasa Core and what capabilities does it unlock?.What are the differences between the Rasa Core and Rasa NLU libraries and how do they relate to each other?.Can you start by explaining the goals of Rasa as a company and highlighting the projects that you have open sourced?.Your host as usual is Tobias Macey and today I’m interviewing Joey Faulkner about Rasa Core and Rasa NLU for adding conversational AI to your projects.You can reach me on Twitter at or email To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media. And if you have any questions, comments, or suggestions I would love to hear them. Visit the site to subscribe to the show, sign up for the newsletter, and read the show notes.Professional support and enterprise plugins are available for added piece of mind.
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This week Joey Faulkner shares his work with Rasa Technologies and their open sourced libraries for understanding natural language and how to conduct a conversation. Combining these two trends gives us chatbots that can be used as a new interface to the software and services that we depend on. The rise of artificial intelligence has brought the capacity for understanding human language. With the proliferation of messaging applications, there has been a growing demand for bots that can understand our wishes and perform our bidding.
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