Rasa Algorithm Whiteboard Sparsity

Summary

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 the main points of the starspace paper. It's an influencial piece of work and here at The way the response selector is implemented in Detecting personally identifiable information from text is typically a NER problem. It's an important problem, especially when ... In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ... Countvectors are still an unsung hero in natural language processing. This is especially true in 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 ... It's easy to get distracted when you go down the rabbit hole of performance statistics. But! Not every impressive benchmark is ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. 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 this video, we will explore pre-trained spaCy models and use them to detect names. These pre-trained models are great, but ... We're starting a new playlist! Introducing the 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 ...