10 Best Practices for Designing NLU Training Data
Whether you're starting from scratch or working with an existing data set, here's how to make sure your NLU training data results in accurate predictions and scales sustainably.…
Introducing DIET: state-of-the-art architecture that outperforms fine-tuning BERT and is 6X faster to train
With Rasa 1.8, our research team is releasing a new state-of-the-art lightweight, multitask transformer architecture for NLU: Dual Intent and Entity Transformer (DIET).…