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Rasa Algorithm Whiteboard - Response Selection: Implementation
Rasa Algorithm Whiteboard - Transformers & Attention 1: Self Attention
Rasa Algorithm Whiteboard - Finding Unexpected Intents
Rasa Algorithm Whiteboard - The Maths Behind De-Biasing in Word Embeddings
Rasa Algorithm Whiteboard - Understanding Word Embeddings 4: Whatlies
Rasa Algorithm Whiteboard - NER for Personal Indentifiable Information is Hard
Rasa Algorithm Whiteboard - StarSpace
Rasa Algorithm Whiteboard - Using Projections to Remove Bias from Word Embeddings
Rasa Algorithm Whiteboard - Sparsity
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Last Updated: September 28, 2026
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Summary
Instead of debugging a model, it might be *much* more effective to consider debugging your We're starting a new playlist! Introducing the 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 ... The way the response selector is implemented in 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 ... This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... 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'd to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... Detecting personally identifiable information from text is typically a NER problem. It's an important problem, especially when ... In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at 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 ...
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