Media Summary: 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 ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. 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 Sparsity - Detailed Analysis & Overview
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 ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. 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 ... It's easy to get distracted when you go down the rabbit hole of performance statistics. But! Not every impressive benchmark is ... We're starting a new playlist! Introducing the What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ...
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 ... 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 ... When you iterate on your data, you also want to iterate on your model. It'd be a shame to have to retrain from scratch every single ... This is the third video on attention mechanisms. In the previous video we introduced keys, queries and values and in this video ... 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 ...
