Rasa Algorithm Whiteboard Incremental Training

Summary

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 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 the main points of the starspace paper. It's an influencial piece of work and here at 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 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 ... In this video, we'll try to find unexpected intents using the brand new UnexpectedIntentPolicy. It helps to have seen the previous ... Instead of debugging a model, it might be *much* more effective to consider debugging your data. In this video, we'll discuss ... We're starting a new playlist! Introducing the This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ... 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 ... 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 ...