Rasa Algorithm Whiteboard Finding Unexpected

In this video, we'll try to find

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 will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ...

This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ...

When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a fallback ...

In this video, we will explore pre-trained spaCy models and use them to detect names. These pre-trained models are great, but ...

In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much.

In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ...

Bad labels make your benchmarks unreliable, so how might we find some? In this video, we'll try out one trick and we'll see if it ...

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 ...

Instead of debugging a model, it might be *much* more effective to consider debugging your data. In this video, we'll discuss ...

In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ...

This is the first video on attention mechanisms. We'll start with self attention and end with transformers. We're going at it step by ...