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Rasa Algorithm Whiteboard - Transformers & Attention 1: Self Attention
Rasa Algorithm Whiteboard - Diet Architecture 1: How it Works
Rasa Algorithm Whiteboard - UnexpecTEDIntentPolicy Details
Rasa Algorithm Whiteboard - General Embeddings vs. Specific Problems
Rasa Algorithm Whiteboard - RulePolicy
Rasa Algorithm Whiteboard - Measuring Quality with Markers
Rasa Algorithm Whiteboard: Transformers & Attention 4 - Transformers
Rasa Algorithm Whiteboard - Toxic Language Detection
Introducing The Algorithm Whiteboard
Rasa Algorithm Whiteboard - UnexpecTED Intent Policy
Rasa Algorithm Whiteboard - Sparsity
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Last Updated: October 18, 2026
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Summary
When you're making a digital assistant you'll need more than just In this video we'll explore how 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 first video on attention mechanisms. We'll start with self attention and end with transformers. We're going at it step by ... This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ... In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. 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 ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... Toxic Language Detection is a *hard* problem. The reason why it is hard has to do with the fact that it is very easy to point out a ... We're starting a new playlist! Introducing the 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 ...