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Rasa Algorithm Whiteboard - Understanding Word Embeddings 4: Whatlies
Rasa Algorithm Whiteboard - Sparsity
Rasa Algorithm Whiteboard - Countvectors and Spelling Errors
Rasa Algorithm Whiteboard - Subword Embeddings and Spelling
Rasa Algorithm Whiteboard - Model Confidence v2
Rasa Algorithm Whiteboard - Response Selection: Implementation
Rasa Algorithm Whiteboard - Word Analogies don't Hold in General
Rasa Algorithm Whiteboard: Debiasing via Projections Doesn't Always Work
Rasa Algorithm Whiteboard - The Maths Behind De-Biasing in Word Embeddings
Introducing The Algorithm Whiteboard
Rasa Algorithm Whiteboard - RulePolicy
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Last Updated: October 20, 2026
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In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at Many pre-trained language models work on a single language. But in the conversational setting, we're usually dealing with a mix ... 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'd to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... 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 ... Countvectors are still an unsung hero in natural language processing. This is especially true in This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... 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 ... In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ... We're starting a new playlist! Introducing the 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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