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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.

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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.

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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.

Read full article >

Feb 23

Exploring Semantic Map Embeddings / Part I

We explore a new sparse text embedding that has some interesting properties.

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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!

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Case 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...

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Case 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

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