Media Summary: 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 will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much.

Rasa Algorithm Whiteboard Unexpected Intent - Detailed Analysis & Overview

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 will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... 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 ... 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 previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ...

This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... Detecting personally identifiable information from text is typically a NER problem. It's an important problem, especially when ... In the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ... 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 ... 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 will explore pre-trained spaCy models and use them to detect names. These pre-trained models are great, but ...

Typos are a common issue for NLU models. There are some tweaks you might do to your pipeline to combat them, but maybe it ... 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 ... The way the response selector is implemented in

Photo Gallery

Rasa Algorithm Whiteboard - UnexpecTED Intent Policy
Rasa Algorithm Whiteboard - Finding Unexpected Intents
Rasa Algorithm Whiteboard - UnexpecTEDIntentPolicy Details
Rasa Algorithm Whiteboard - Splitting Intent Classes
Rasa Algorithm Whiteboard - General Embeddings vs. Specific Problems
Rasa Algorithm Whiteboard - Fallback Detection
Rasa Algorithm Whiteboard - Using Projections to Remove Bias from Word Embeddings
Rasa Algorithm Whiteboard - The Maths Behind De-Biasing in Word Embeddings
Rasa Algorithm Whiteboard - Transformers & Attention 2: Keys, Values, Queries
Rasa Algorithm Whiteboard - NER for Personal Indentifiable Information is Hard
Rasa Algorithm Whiteboard: Debiasing via Projections Doesn't Always Work
Rasa Algorithm Whiteboard - Response Selection
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