Media Summary: In this video we'll highlight the main points of the 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 ... We're starting a new playlist! Introducing the
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In this video we'll highlight the main points of the 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 ... 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 ... In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ... This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ...
In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ... 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 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 second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... In this video we'd like to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ...
This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... The way the response selector is implemented in It turns out that you can drop a lot of weights from your neural network without seeing a drastic effect on accuracy. In this video ... What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ... 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 highlight how you might construct a neural network that can handle subword embeddings.
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 ...
