Ground Truth is the verified, correct data used as the reference standard for training, testing, and evaluating AI models. It provides the benchmark against which model predictions are measured.
Voice AI teams compare speech recognition results, intent predictions, and conversation outcomes against Ground Truth datasets to measure accuracy and improve model performance. High-quality Ground Truth is essential for reliable AI evaluation.