Validation Loss measures how accurately an AI model performs on validation data that was not used during training. It helps assess whether the model is learning effectively and generalizing well.
Voice AI engineers monitor Validation Loss when training speech and language models to detect overfitting, compare model versions, and select the best-performing model for production deployment.