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Rasa Algorithm Whiteboard - General Embeddings vs. Specific Problems
Rasa Algorithm Whiteboard - UnexpecTEDIntentPolicy Details
Rasa Algorithm Whiteboard - RulePolicy
Rasa Algorithm Whiteboard - Measuring Quality with Markers
Rasa Algorithm Whiteboard - UnexpecTED Intent Policy
Introducing The Algorithm Whiteboard
Rasa Algorithm Whiteboard: Transformers & Attention 4 - Transformers
Rasa Algorithm Whiteboard - Sparsity
Rasa Algorithm Whiteboard: Debiasing via Projections Doesn't Always Work
Rasa Algorithm Whiteboard - Model Confidence v2
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Last Updated: September 27, 2026
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Summary
When you're making a digital assistant you'll need more than just In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at 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 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 a qualitative argument of why you may not need to worry about pre-trained embeddings too much. In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ... 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 ... We're starting a new playlist! Introducing the This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... 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 is the second version of an original video. The content of the original video still holds true, but we decided to change ...