Building a Common Language for Conversational AI
We start creating a common language to talk about the structure of conversations with AI assistants.…
Designing Rasa training stories
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.…
Rasa NLU in Depth: Part 3 – Hyperparameter Tuning
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.…
Rasa NLU in Depth: Part 2 – Entity Recognition
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.…
Rasa NLU in Depth: Part 1 – Intent Classification
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.…
Level 3 Contextual Assistants: Beyond Answering Simple Questions
This posts gives an overview of the key capabilities that AI assistants need to handle contextual conversations.…
Conversational AI: Your Guide to Five Levels of AI Assistants in Enterprise
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…
How to build a GDPR compliant chatbot or voice assistant
The General Data Protection Regulation (GDPR) is going into effect and everyone needs to comply with it. But in order to build bots and conversational AI you need data. This data comes mostly from your customers and can be sensitive.…
Do-it-yourself NLP for bot developers
I believe in most cases it makes sense for bot makers to build their own natural language parser, rather than using a third party API. There are good strategic and technical arguments for doing this, and I want to show how easily you can put something together.…