Machine Learning

Algorithms alone won’t solve conversational AI - Introducing Rasa X

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…

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 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.…

Attention, Dialogue, and Learning Reusable Patterns

Our latest research paper introduces the new embedding policy (REDP), which is much better at dealing with uncooperative users than our standard LSTM.…

How to handle multiple intents per input using Rasa NLU TensorFlow pipeline

In this post we are going to take a comprehensive look at how we can use Rasa NLU TensorFlow pipeline to build chatbots which can understand multiple intents per input.…

Supervised Word Vectors from Scratch in Rasa NLU

We’ve released a new pipeline which is totally different from the standard Rasa NLU approach. It uses very little memory, handles hierarchical intents, messages containing…