Rasa Algorithm Whiteboard Splitting Intent Classes

Summary

This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ... 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'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 ... 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 ... 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 video is the second version of an original video. The content of the original video still holds true, but we decided to change ... In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... 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 explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ... Typos are a common issue for NLU models. There are some tweaks you might do to your pipeline to combat them, but maybe it ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ...