Media Summary: This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... 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 is the first video on attention mechanisms. We'll start with self attention and end with transformers. We're going at it step by ...
Rasa Algorithm Whiteboard Model Confidence - Detailed Analysis & Overview
This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... 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 is the first video on attention mechanisms. We'll start with self attention and end with transformers. We're going at it step by ... 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 discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... 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 on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ... We're starting a new playlist! Introducing the 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 this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. 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 ...
It's easy to get distracted when you go down the rabbit hole of performance statistics. But! Not every impressive benchmark is ... In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ... What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... Detecting personally identifiable information from text is typically a NER problem. It's an important problem, especially when ... In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at
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 ...
