Rasa
- Bot Builders
- 3 Case Studies
Rasa is an open source machine learning tools for developers to create contextual text- and voice-based chatbots and assistants.
Jan 19
Reduce Training Time with Rasa’s New Incremental Training
Incremental training, shipped in Rasa Open Source 2.2.0, allows you to fine-tune an existing model after adding new training examples instead of training a new model from scratch.
Mar 04
Exploring Semantic Map Embeddings / Part II
In this second part of our series on semantic maps, we show how to create them and see how they perform as featurizers for DIET.
Mar 04
Exploring Semantic Map Embeddings / Part II
In this second part of our series on semantic maps, we show how to create them and see how they perform as featurizers for DIET.
Feb 23
Exploring Semantic Map Embeddings / Part I
We explore a new sparse text embedding that has some interesting properties.
Case Studies
Case Study : Circle Medical | Fully Automated Prescription Refills With A Contextual Ai Assistant
US medical practice provider Circle Medical uses their contextual AI Assistant to automate half of all patient refill requests. Learn how!
Save to LibraryCase Study : Meekan | Build An Advanced, In-House Nlu System Without An Extensive Research Team
Popular Slack bot Meekan switched from Microsoft LUIS to Rasa's open source NLU to build an advanced in-house AI assistant. Find out why Meekan loves...
Save to LibraryCase Study : Raiffeisen | Attract Millennial Customers With An Automated Personal Finance Assistant
Raiffeisen, a leading Swiss retail bank, used Rasa Platform to build an automated personal finance assistant to explore appealing to a younger audience
Save to Library
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