Mady explained that Rasa’s users are mostly developers. You can’t just package this up and say, well, we’re gonna hold all of this knowledge and no one else can know about it, and sit up in our ivory towers.” Our mission is that AI shouldn’t be a black box. “Developers that don’t know machine learning, that aren’t data scientists, product teams that may not be that technical can still take advantage of our products. What’s particularly appealing is that Rasa is a tool that’s accessible ot everyone – even people without a degree in computer science or a deep understanding of AI. It’s now used by millions of developers globally. The company created Rasa Open Source, a free open-source machine learning framework to automate text- and voice-based assistants. With Rasa, all developers can create better text- and voice-based assistants. Rasa provides infrastructure & tools necessary for high-performing, resilient, proprietary contextual assistants that work. Building contextual assistants and chatbots that really help customers is hard. Rasa builds the standard infrastructure layer for AI. In preparation for our Deep Learning Conference (hey, if you are thinking of organising your first online vent we have shared our experience organising our first online conference), I had spoken with one of the conference presenters, Mady Mantha, Senior Technical Evangelist at Rasa. If you’re looking for a very accessible entry into the why’s and how’s of AI, conversational AI is a great starting point. How is conversational AI evolving to include multilingual chatbots?.What happened to conversational AI and where is it at now?.
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