Recent submissions

Comment · 1 year ago
Comment · 3 years ago
This is nice. Pulling data from an API and putting it in a SQL database should be a simple everyday task but the tools for this are 99% massive overkill. Great to see a simple library for a simple job.
Comment · 9 years ago
The Rasa Core framework has been in development for 1.5 years, so we're incredibly excited to launch it & make it accessible to everyone.

We wanted to make Machine-Learning based dialogue usable for as many developers as possible. There's so much great research in conversational AI but very little that developers can actually use to build bots and voice apps.

One of the big challenges was making Rasa Core useful on day one, when you have no training data. We came up with the interactive learning approach, where you teach the system by talking to it and providing feedback. Rasa lets you scale from nothing up to a robust dialogue system trained on a large number of real conversations.

We're so happy with the community that's developed around Rasa NLU, and so we're really, really excited to see what people build with Core.

Comment · 10 years ago
we could integrate with other backends, including NLTK & coreNLP. The stanford stuff is under GPL though, prefer to promote startup-friendly licenses.
Comment · 10 years ago
yes! Docker Cloud isn't quite working yet but the Dockerfile should work :)
Comment · 10 years ago
currently there are no built-in entities like dates, times, locations etc. But really keen to set up a way for users to share models, and that would definitely include these things as well

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