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Detecting personally identifiable information from text is typically a

We're starting a new playlist! Introducing the

This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ...

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.

In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ...

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

In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...

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 ...

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

This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ...

In this video, we will explore a data structure that will help us detect entities by string matching. In particular, we'll look at FlashText ...

Text translation is hard, especially when you've only gotten a small amount of data to work with. But still ... we may be interested in ...