NLP Training API adds adversarial training for semi-supervised text classification

AI Impact Summary

A new capability layer in the NLP Training API enables adversarial training for semi-supervised text classification, signaling a move toward robustness with limited labeled data. This will affect training pipelines that rely on unlabeled data, as you can incorporate adversarial perturbations into the training objective to improve generalization; expect longer training times and more hyperparameter tuning for attack strength and perturbation methods. Also, you should update validation to include robustness metrics and monitoring for model drift as adversarial examples are introduced.