The Rasa Blog
Welcome to the new home of the Rasa Blog!
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.
July 11th, 2019
Integrating Rasa with knowledge bases
Tanja Bunk
What exactly is a knowledge base, and how can you use it to bring your AI assistant's understanding to the next level? Find out in this tutorial.
July 11th, 2019
Set Up a Knowledge Base to Encode Domain Knowledge for Rasa
Tanja Bunk
Learn all about knowledge bases and how to set one up. The tutorial will refer to an example implementation of a knowledge-base ai banking bot.
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.
June 13th, 2019
Machine Learning Open Source: How to Contribute to Rasa
Justina Petraitytė
We are very excited to announce the Contribute to Rasa project - a public project on GitHub where we share ideas for what contributions (code, content, local community chapters) you can make to Rasa.
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
May 21st, 2019
Getting Started with Rasa X as an Existing Rasa User
Justina Petraitytė
Rasa X is a tool designed to make it easier to deploy and improve Rasa-powered assistants by learning from real conversations. Learn how you can use it to take your Rasa assistant to the whole new level.
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 28th, 2019
Rasa NLU in Depth: Part 3 – Hyperparameter Tuning
Tobias Wochinger
Part 3 of our Rasa NLU in Depth series covers hyperparameter tuning. We will explain how to use Docker containers to run a Rasa NLU hyperparameter search for the best NLU pipeline at scale.
February 28th, 2019
Rasa NLU in Depth: Part 2 – Entity Recognition
Tobias Wochinger
Part 2 of our Rasa NLU in Depth series covers entity recognition. We will explain which components you should use for which type of entity and how to tackle common problems like fuzzy entities.
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…
February 21st, 2019
Rasa NLU in Depth: Part 1 – Intent Classification
Tobias Wochinger
This is part one of our three-part in-depth series about Rasa NLU. It will cover intent classification components, when to choose which and how to solve common real-world problems.