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Rasa Algorithm Whiteboard - General Embeddings vs. Specific Problems
Rasa Algorithm Whiteboard - Understanding Word Embeddings 1: Just Letters
Rasa Algorithm Whiteboard - Countvectors and Spelling Errors
Rasa Algorithm Whiteboard - Transformers & Attention 1: Self Attention
Rasa Algorithm Whiteboard - Subword Embeddings and Spelling
Introducing The Algorithm Whiteboard
Rasa Algorithm Whiteboard - Using Projections to Remove Bias from Word Embeddings
Rasa Algorithm Whiteboard - Sparsity
Rasa Algorithm Whiteboard - Finding Unexpected Intents
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Last Updated: September 29, 2026
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Summary
In this video we'll highlight a cute phenomenon. We won't demonstrate something that is particularily useful; we'll make an ... 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 ... In this video we're going to explore GloVe embeddings while also understanding why word embeddings are genuinely hard to ... In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... We're making a few videos that highlight word embeddings. Before training word embeddings we figured it might help the intuition ... Countvectors are still an unsung hero in natural language processing. This is especially true 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 ... 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 ...
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