The Rasa Blog
Welcome to the new home of the Rasa Blog!
January 23rd, 2020
The Rasa Masterclass Handbook: Episode 10
Rasa
In this episode, we will cover inviting guest testers to talk to your assistant, reviewing the collected conversations, and improving your assistant based on those conversations.
January 22nd, 2020
The Rasa Masterclass Handbook: Episode 9
Rasa
In this episode we’ll discuss why you should use Rasa X, demonstrate how to deploy Rasa X to Google Cloud Platform, and connect the Rasa X instance to the medicare locator assistant.
January 16th, 2020
Link Rasa X with Git-Based Development Workflows
Rasa
As of Rasa X version 0.23.0, we’ve added a new feature that allows developers to version training data by connecting Rasa X with a Git repository on a remote server.
January 15th, 2020
The Humans Behind the Bots: Ella Rohm-Ensing
Rasa
The people of Rasa come together from diverse backgrounds to solve today’s most interesting challenges in NLP and building AI assistants. Today we’re talking with Ella Rohm-Ensing, Solutions Architect at Rasa.
January 14th, 2020
The Rasa Masterclass Handbook: Episode 8
Rasa
In Episode 8, we focus on developing the medicare locator assistant by adding custom actions that interface with backend integrations, implementing FormAction, and adding a fallback policy.
January 10th, 2020
The Rasa Masterclass Handbook: Episode 7
Rasa
In Episode 7 of the Rasa Masterclass, we cover dialogue policies. Policies are components that train the dialogue model, and they play a very important role in determining its behavior.
January 3rd, 2020
The Rasa Masterclass Handbook: Episode 6
Rasa
In Episode 6 of the Rasa Masterclass, we cover essential components in building dialogue management models with Rasa, including domain, custom actions, slots, and more.
January 2nd, 2020
The Rasa Masterclass Handbook: Episode 5
Rasa
In Episode 5 of the Rasa Masterclass, we introduce dialogue management, which is controlled by a component called Rasa core. Dialogue management is the function that controls the next action the assistant takes during a conversation.
December 19th, 2019
Rasa's Community Showcase: What Developers Are Building
Karen White
We launched our new Community Showcase to highlight the range of projects built with Rasa and to help developers get inspired by what’s possible.
December 17th, 2019
Rasa Open Source + Rasa X: Better Together
Rasa
We recently launched Rasa X, a free toolset that helps you quickly iterate on and improve the quality of your contextual assistant built using Rasa Open Source.
December 16th, 2019
3 years! - Rasa Community Update
Alex Weidauer
Rasa is 3 years old and the community is growing fast. 2019 was an incredible year: 6 x downloads, 4 x forum members growth, Rasa Developer Summit, new products and more developer education
December 10th, 2019
The Rasa Masterclass Handbook: Episode 4
Rasa
In Episode 4, we’ll examine what each component does and what’s happening under the hood when a model is trained.
December 5th, 2019
It’s about time we get rid of intents
Alan Nichol
We’ve made a bunch of progress towards level 3 conversational AI but to really get there, we have to stop relying on intents.
December 2nd, 2019
NLP vs. NLU: What's the Difference and Why Does It Matter?
Rasa
The terms NLP and NLU are often used interchangeably, but they have slightly different meanings. Learn the difference between natural language processing and natural language understanding and why they're important for successful conversational applications.
November 26th, 2019
ConveRT Featurizer Makes Sentence Representations Efficient
Daksh Varshneya
Introducing a new featurizer based on a recently proposed sentence encoding model, ConveRT. We explain how you can use it in Rasa to get very strong performance with a model that trains in minutes on a CPU.