Conversational AI
For updates regarding how we utilize, improve upon, and explore conversational AI technologies, check out this category for related blog posts!
November 9th, 2020
Rasa for Content Creators
Karen White
Content creators contribute one of the most visible parts of an assistant: the personality, responses, and conversation flows.
September 21st, 2020
Introducing Rasa for Beginners
Mady Mantha
We’re excited to launch Rasa for Beginners: a free, introductory, hands-on course that will help you build your first functional and interactive AI assistant.
September 4th, 2020
Custom Gensim Embeddings in Rasa
Vincent Warmerdam
Training your own word embeddings can be a hassle, and we typically advise against it. It can require a lot of computing power, time, and a…
September 3rd, 2020
The CDD Playbook: Strategies for Conversation-Driven Development
Karen White
Learn concrete, actionable steps for building AI assistants using conversation-driven development
September 2nd, 2020
Putting Conversation-Driven Development to the Test
Alan Nichol
What we learned testing two assistants side by side: one developed using conversation-driven development, the other attempting to break as many CDD “rules” as we could.
August 20th, 2020
Superhero Spotlight: Bhavani Ravi
Emma Jade Wightman
In this series we will shed light on the extraordinary community work done by our Rasa Superheroes, take a deep dive into what inspired them, and find out if they have any tips or advice to share with aspiring community builders. In this edition, we get to know Bhavani Ravi!
August 12th, 2020
Introducing Entity Roles and Groups
Mady Mantha
At a fundamental level, natural language understanding (NLU) does two things: it identifies the goal or meaning of the text and extracts…
August 6th, 2020
Recipes for Building Conversational AI Teams
Karen White
We’ll break down a few of the most common roles that make up conversational AI teams and consider a few example team structures to help you assemble your AI assistant dev team.
July 10th, 2020
10 Best Practices for Designing NLU Training Data
Karen White
Whether you're starting from scratch or working with an existing data set, here's how to make sure your NLU training data results in accurate predictions and scales sustainably.
June 22nd, 2020
Demonstration of TED Policy in Rasa Dialogue Management
Vincent Warmerdam
This guide accompanies a video on our algorithm whiteboard playlist. You can see the video below, but we figured that having a written guide would make it easier for our community members to reproduce our experiment.
June 17th, 2020
5 Levels of Conversational AI: 2020 Update
Alan Nichol
Since we first published the 5 levels of AI assistants, the market and tech have changed, and it’s time for an update. End users are already telling us what they want from AI assistants, and to get to level 5 we “just” have to listen.
April 24th, 2020
New Rasa Starter Pack: IT Helpdesk
Rasa
This assistant is a great starting point for building an IT helpdesk chatbot of your own, or you can use it as a reference implementation for integrating with a customer service ticketing system.
April 20th, 2020
Visualise Word-Embeddings with Whatlies
Vincent Warmerdam
We're happy to announce that we're open sourcing a visualisation tool!
March 9th, 2020
Introducing DIET: State-of-the-art architecture outperforms BERT
Mady Mantha
With Rasa 1.8, our research team is releasing a new state-of-the-art lightweight, multitask transformer architecture for NLU: Dual Intent and Entity Transformer (DIET).
January 28th, 2020
Model Testing and CI for Conversational AI Software
Alan Nichol
An AI assistant is a product, and just because that product uses machine learning doesn’t mean you should give up on good software engineering habits.