Rasa Algorithm Whiteboard Typo Robustness

Summary

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 fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... 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 ... This is the third video on attention mechanisms. In the previous video we introduced keys, queries and values and in this video ... 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'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. In this video we'll explore the idea of subword embeddings by having a look at fasttext. We'll discuss how subword embeddings ... 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 ... This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... Detecting personally identifiable information from text is typically a NER problem. It's an important problem, especially when ... We're starting a new playlist! Introducing the Text translation is hard, especially when you've only gotten a small amount of data to work with. But still ... we may be interested in ... 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 ...