Rasa Algorithm Whiteboard - Incremental Training
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 ...
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 second...
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 second video on attention mechanisms. In the previous video we introduced self attention and in this video we're going ...
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'd like to demonstrate an new tool that we've open-sourced. It's called "whatlies" and the goal of the package is to ...
In this video we'll highlight the main points of the starspace paper. It's an influencial piece of work and here at
We're starting a new playlist! Introducing the
This video explains the separate parts of the DIET architecture and how they are combined into an architecture that is useful in a ...
The way the response selector is implemented in
How do you judge the quality of a virtual assistant? Can we look at the intent classification scores and call it a day? Or do we need ...
In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...
In this video, we'll try to find unexpected intents using the brand new UnexpectedIntentPolicy. It helps to have seen the previous ...
If you're just getting started with a virtual assistant you might be able to quickly get inspiration for intents/labels by using ...
Instead of debugging a model, it might be *much* more effective to consider debugging your data. In this video, we'll discuss ...