Rasa Algorithm Whiteboard Ted In Practice

Summary

In this video we'll explore how When you're making a digital assistant you'll need more than just This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... How do you judge the quality of a virtual assistant? Can we look at the intent classification scores and call it a day? Or do we need ... 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 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 ... 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'd to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... The way the response selector is implemented in This is the third video on attention mechanisms. In the previous video we introduced keys, queries and values and 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 video is the second version of an original video. The content of the original video still holds true, but we decided to change ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ...