Rasa Algorithm Whiteboard Detecting Names

Summary

In this video, we will explore pre-trained spaCy models and use them to 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 ... This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... 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 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 ... Bad labels make your benchmarks unreliable, so how might we find some? In this video, we'll try out one trick and we'll see if it ... If you're just getting started with a virtual assistant you might be able to quickly get inspiration for intents/labels by using ... We're starting a new playlist! Introducing the Countvectors are still an unsung hero in natural language processing. This is especially true in 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 ... In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...