Media Summary: If you're just getting started with a virtual assistant you might be able to quickly get inspiration for intents/ In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ...
Rasa Algorithm Whiteboard Bulk Labelling - Detailed Analysis & Overview
If you're just getting started with a virtual assistant you might be able to quickly get inspiration for intents/ In this video, we'll highlight a qualitative argument of why you may not need to worry about pre-trained embeddings too much. In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ... In the previous video on bias, we showed that you should be careful with debiasing techniques. In this video, we zoom in on why ... 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 ... 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 explore the idea of subword embeddings by having a look at fasttext. We'll discuss how subword embeddings ... In the previous video, we've started measuring bias in word embeddings. In this video, we will attempt to remove some of this bias ... This is the third video on attention mechanisms. In the previous video we introduced keys, queries and values and in this video ... In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ... Countvectors are still an unsung hero in natural language processing. This is especially true in We're starting a new playlist! Introducing the
When people refer to a Machine Learning backend, they typically call it a "pipeline". A pipeline is a nice mental concept, and ... This video is the second version of an original video. The content of the original video still holds true, but we decided to change ... In this video we highlight how you might construct a neural network that can handle subword embeddings. In this video, we will explore a data structure that will help us detect entities by string matching. In particular, we'll look at FlashText ...
