Media Summary: This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... When you're making a digital assistant you'll need more than just This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ...

Rasa Algorithm Whiteboard Response Selection - Detailed Analysis & Overview

This is the second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ... When you're making a digital assistant you'll need more than just This is the fourth and final video on attention mechanisms. In the previous video we introduced multiheaded keys, queries and ... 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 the previous videos, we've started measuring bias in word embedding and tried to counteract the bias with a linear algebra ... What if we design a policy mechanism that doesn't predict the next action to take, but instead predicts when something ...

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 this third video of the series we will benchmark different assistant pipelines using DIET. We are using the demo-bot that is on ... 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'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. 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 ... The Universal Sentence Encoder is an embedding for sentences as opposed to words. There are a few interesting tricks that are ...

We're starting a new playlist! Introducing the In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... Countvectors are still an unsung hero in natural language processing. This is especially true in This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ... When you iterate on your data, you also want to iterate on your model. It'd be a shame to have to retrain from scratch every single ...

Photo Gallery

Rasa Algorithm Whiteboard - Response Selection
Rasa Algorithm Whiteboard - Response Selection: Implementation
Rasa Algorithm Whiteboard - Transformers & Attention 2: Keys, Values, Queries
Rasa Algorithm Whiteboard - TED Policy
Rasa Algorithm Whiteboard: Transformers & Attention 4 - Transformers
Rasa Algorithm Whiteboard - Transformers & Attention 1: Self Attention
Rasa Algorithm Whiteboard: Debiasing via Projections Doesn't Always Work
Rasa Algorithm Whiteboard - UnexpecTED Intent Policy
Rasa Algorithm Whiteboard - Fallback Detection
Rasa Algorithm Whiteboard - Diet Architecture 3: Benchmarking
Rasa Algorithm Whiteboard - Meaningful Benchmarks
Rasa Algorithm Whiteboard - General Embeddings vs. Specific Problems
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