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Rasa Algorithm Whiteboard - Language Detection
Rasa Algorithm Whiteboard - Sparsity
Rasa Algorithm Whiteboard - Measuring Quality with Markers
Rasa Algorithm Whiteboard - Finding Unexpected Intents
Rasa Algorithm Whiteboard - Bad Label Detection
Rasa Algorithm Whiteboard - Response Selection: Implementation
Rasa Algorithm Whiteboard - Word Analogies don't Hold in General
Rasa Algorithm Whiteboard - NER for Personal Indentifiable Information is Hard
Rasa Algorithm Whiteboard - Fallback Detection
Rasa Algorithm Whiteboard - TED Policy
Rasa Algorithm Whiteboard - RulePolicy
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Last Updated: October 18, 2026
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Summary
This video is a bit ... different. We'll be exploring a trick that sounds it might work, but we can only confirm it by receiving ... Countvectors are still an unsung hero in natural language processing. This is especially true in In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. What might an assistant do if it sees a text from a language that it isn't trained on? It might make assumptions because it's unlike ... 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 ... 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 ... 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 ... The way the response selector is implemented in You might have heard about the `king - man + woman = queen` analogy. In this video we'll dive into the phenomenon of ... Detecting personally identifiable information from text is typically a NER When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a fallback ... When you're making a digital assistant you'll need more than just In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...
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