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Rasa named a “Cool Vendor in Conversational AI platforms” by Gartner
The Gartner Cool Vendor report identifies innovative products and rising trends in the conversational AI industry. Learn why Rasa was selected and get recommendations for evaluating your conversational AI stack.
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Rasa Open Source Now Supports spaCy 3.0
In February this year, spaCy 3.0 was released. This was a major release with many new features, including new pre-trained models. Rasa Open Source 2.5 now includes support for this new version of spaCy, which brings many new features to the Rasa community.
Why Rasa uses Sparse Layers in Transformers
By Johannes Mosig and Vladimir Vlasov.
Feed forward neural network layers are typically fully connected, or dense. But do we actually need to connect every input with every output? And if not, which inputs should we connect to which outputs? It turns out that in some of Rasa’s machine learning models we can randomly drop as much as 80% of all connections in feed forward layers throughout training and see their performance unaffected! Here we explore this in more detail.
The Five Step Journey to Becoming a Rasa Developer
In this post, we’ll walk you through the major landmarks that most Rasa developers will run into in their developer journey and suggest some materials that you might find helpful when you reach that step yourself.