Rasa Algorithm Whiteboard Debiasing Via
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In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ... In the previous video on bias, we showed that you should be careful with In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ... In this video we'd like to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ... Word Embeddings have a bias issue. In this video we'll explore what this means by looking at gender bias. We will try to find a ... What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ...
In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a fallback ... Sometimes you can change the intent labels to get a more accurate model. In this video, we will explore how to do this with a ... In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... 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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Last Updated: June 10, 2026
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