Understanding Rasa Algorithm Whiteboard Lexical Ambiguity
Let's dive into the details surrounding Rasa Algorithm Whiteboard Lexical Ambiguity. NLP models aren't perfect and a lot of models fall short in similar ways. The bag of words assumption is a big issue even with ...
Key Takeaways about Rasa Algorithm Whiteboard Lexical Ambiguity
- In this video, we will discuss some technical details that are in the UnexpecTEDIntentPolicy. The UnexpecTEDIntentPolicy really is ...
- 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 video, an example is given of how technological metaskills are acquired in the SCAP learning environment. The example ...
- 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 ...
- 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 ...
Detailed Analysis of Rasa Algorithm Whiteboard Lexical Ambiguity
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 explore the idea of subword embeddings by having a look at fasttext. We'll discuss how subword embeddings ... In this video we highlight how you might construct a neural network that can handle subword embeddings.
In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate ...
That wraps up our extensive overview of Rasa Algorithm Whiteboard Lexical Ambiguity.