Media Summary: In this video, we will discuss some technical What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ... This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ...
Rasa Algorithm Whiteboard Unexpectedintentpolicy Details - Detailed Analysis & Overview
In this video, we will discuss some technical What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ... 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 ... In this video, we'll try to find unexpected intents using the brand new In this video, we will explore pre-trained spaCy models and use them to detect names. These pre-trained models are great, but ...
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 the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ... This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... 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. It's easy to get distracted when you go down the rabbit hole of performance statistics. But! Not every impressive benchmark is ...
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 ...
