Conversational AI
For updates regarding how we utilize, improve upon, and explore conversational AI technologies, check out this category for related blog posts!
August 27th, 2019
Build an AI Voice Assistant with Rasa and Mozilla Tools
Justina Petraitytė
What if you wanted to build and assistant that runs locally and ensures the privacy of your data? You can do it using Rasa Open Source, Mozilla DeepSpeech and Mozilla TTS tools. Check out this tutorial to find out how.
August 15th, 2019
Customizing Training Data Importing
Tobias Wochinger
Since Rasa version 1.2 you can customize the way Rasa imports training data for the model training. This tutorial shows you how to use provided out-of-the-box components or how to build your own importer module and plug it into Rasa.
August 8th, 2019
Compressing BERT for faster prediction
Samuel Sučík
Let's look at compression methods for neural networks, such as quantization and pruning. Then, we apply one to BERT using TensorFlow Lite.
June 26th, 2019
Building a Common Language for Conversational AI
Alan Nichol
We start creating a common language to talk about the structure of conversations with AI assistants.
May 21st, 2019
Algorithms Alone Won’t Solve Conversational AI
Alan Nichol
We're excited to announce Rasa X, our new product for developers in early access. Also, our open source framework Rasa is now available in 1.0
April 18th, 2019
Announcing the Rasa Contributor Program
Justina Petraitytė
The Rasa open source community is growing faster than ever. Today we are excited to announce a new community initiative - we’re introducing the Rasa Contributor Program!
April 11th, 2019
What our new funding means for our developer community
Alex Weidauer
We’ll double-down on open source, new developer tools and machine learning research to build the standard infrastructure layer for conversational AI
March 19th, 2019
Designing Rasa training stories
Justina Petraitytė
Training data is an essential part of every machine learning model. In this post, we are going to cover the best practices of designing Rasa training stories and what you should keep in mind to build your best conversational AI assistant.
March 13th, 2019
AI Assistants in Healthcare: An Open Source Starter Pack for Developers to Automate Full Conversations
Alex Weidauer
Medicare Locator is an example AI assistant and chatbot to help developers in healthcare with their own, using open source tools and APIs.
February 27th, 2019
How to build HIPAA compliant AI Assistants using Rasa
Dominik Rosenkranz
TL;DR: Rasa provides a way to develop your HIPAA compliant conversational AI Assistants. It gives you the full functionality and…
January 24th, 2019
Open Source Two Stage Fallback Policy with Rasa NLU and Core
Tobias Wochinger
Rasa Stack is an open source machine learning-based framework for building level 3 contextual AI assistants. In Rasa Core version 0.13 we…
November 29th, 2018
Attention, Dialogue, and Learning Reusable Patterns
Alan Nichol
Our latest research paper introduces the new embedding policy (REDP), which is much better at dealing with uncooperative users than our standard LSTM.
October 17th, 2018
Level 3 Contextual Assistants: Beyond Simple Questions
Alex Weidauer
This posts gives an overview of the key capabilities that AI assistants need to handle contextual conversations.
September 27th, 2018
Your Guide to Five Levels of AI Assistants in Enterprise
Alex Weidauer
I wanted to give a bit more detail to the concept of five levels of AI assistants. We've been talking about it at Rasa for some time, and…
September 26th, 2018
13 Rules for Conversational User Interface Design
Ulrike Eisengräber
To help navigate the multitude of design challenges associated with the rise of chatbots, follow these 13 guidelines while building and designing conversational user interfaces.