The Rasa Blog
Welcome to the new home of the Rasa Blog!
November 14th, 2019
Build a Mobile Voice Assistant with Rasa and Aimybox
Dmitriy Chechyotkin
In this post, we’ll show you how easy and fast it can be to build and run your own Android voice assistant, using only open source tools and with minimal programming.
November 8th, 2019
The Rasa Masterclass Handbook: Episode 3
Rasa
Episode 3 of the Rasa Masterclass is the first of a 2-part module on training NLU models. In this portion, we’ll focus on choosing a training pipelin configuration, training the model, and testing the model.
November 4th, 2019
The Humans Behind the Bots: Justina Petraityte
Rasa
The people of Rasa come together from diverse backgrounds to solve today’s most interesting challenges in NLP and dialogue management. Today we’re talking with Justina Petraityte, Head of Developer Relations at Rasa.
November 1st, 2019
The Rasa Masterclass Handbook: Episode 2
Rasa
In Episode 2 of the Rasa Masterclass, we focus on generating NLU training data, including: the basics of conversation design, how to format your assistant’s NLU training data, and how to define the intents and entities your assistant can understand.
October 24th, 2019
The Rasa Masterclass Handbook: Episode 1
Rasa
In Episode 1 of the Rasa Masterclass, we do four things: define what a contextual assistant is, identify the components of Rasa, install Rasa, and create a Rasa starter project.
October 23rd, 2019
Superhero Spotlight: Arthur Temporim
Emma Jade Wightman
For our first ever spotlight, we are excited to introduce 23 year old Arthur Temporim, a Software Engineer from Brazil and Rasa Superhero since August 2018.
October 17th, 2019
A Look Back at Rasa Developer Summit 2019
Karen White
During two panel discussions and 14 talks, we heard from speakers at companies including N26, Adobe, Lemonade, and Facebook, who related experiences building custom integrations, shared cutting-edge research, and outlined strategies for leading effective product teams.
October 1st, 2019
Announcing the Rasa Masterclass Video Series
Justina Petraitytė
The Rasa Masterclass is a weekly series of videos that will cover the entire process of developing a contextual AI assistant - from just an idea, all the way to deploying an application in production.
September 24th, 2019
Introducing Rasa X 0.21: Key Features of Rasa in Rasa X
Ty Dunn
Rasa X 0.21 includes improved support for the things you love in Rasa as well as updates to the features you already use in Rasa X.
September 12th, 2019
Integrate Response Retrieval Models with Rasa Assistants
Daksh Varshneya
Do you want to handle a lot of FAQ, chitchat and other single-turn interactions within your assistant built with Rasa? With Rasa 1.3.0 released, it’s easier than ever. Check out the blogpost to find out how.
September 10th, 2019
Overview of the 2019 Rasa Developer Summit
Alan Nichol
The Rasa Developer Summit is a once-a-year opportunity to learn from the Rasa community and more than 20 talented speakers from leading entities in conversational AI.
September 5th, 2019
Pruning BERT to accelerate inference
Samuel Sučík
After previously discussing various ways of accelerating models like BERT, in this blog post we empirically evaluate the pruning approach.…
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 20th, 2019
Hi, I'm your new Community Manager!
Emma Jade Wightman
Get to know our new Developer Community Manager, She's based in Berlin and has been developing, supporting and collaborating with communities for several years, primarily in the gaming industry.
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.