Rasa Algorithm Whiteboard Ted Policy

Summary

When you're making a digital assistant you'll need more than just In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at 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'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... 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 ... In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ... 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 ... 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 ... 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 ... This video is the second version of an original video. The content of the original video still holds true, but we decided to change ...