Introduction to Rasa Algorithm Whiteboard Fallback Detection
Let's dive into the details surrounding Rasa Algorithm Whiteboard Fallback Detection. When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a
Rasa Algorithm Whiteboard Fallback Detection Comprehensive Overview
What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. What might an assistant do if it sees a text from a language that it isn't trained on? It might make assumptions because it's unlike ...
In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ...
Summary & Highlights for Rasa Algorithm Whiteboard Fallback Detection
- In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...
- In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ...
- The way the response selector is implemented in
- In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ...
- Sometimes you can change the intent labels to get a more accurate model. In this video, we will explore how to do this with a ...
That wraps up our extensive overview of Rasa Algorithm Whiteboard Fallback Detection.
