RASA Approach Overview

Rachael explains how RASA uses policies to select responses with the highest confidence based on training data. She discusses the types of training data needed for NLU and dialogue policy, emphasizing the iterative process of training and refining the model with minimal data. Lukas and Rachael touch on the significance of pretrained embeddings in reducing the amount of training data required.