Machine Learning

Rasa provides dialog management with machine learning. Assistants built on Rasa can hold meaningful conversations with users. Learn more on our blog.

Demonstration of TED Policy in Rasa NLU

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…

Rasa

Visualise Word-Embeddings with Whatlies

We're happy to announce that we're open sourcing a visualisation tool!…

Rasa

Model Testing and CI for conversational Software

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.…

Alan Nichol

Pruning BERT to accelerate inference

After previously discussing various ways of accelerating models like BERT, in this blog post we empirically evaluate the pruning approach. You can: read about the implementation…

Sam Sucik

Compressing BERT for faster prediction

Let's look at compression methods for neural networks, such as quantization and pruning. Then, we apply one to BERT using TensorFlow Lite.…

Sam Sucik

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…

Alan Nichol

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.…

Tobias Wochinger

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.…

Tobias Wochinger

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.…

Alan Nichol