A Loss Function is a mathematical formula that measures how far an AI model's predictions differ from the expected results during training. The model learns by minimizing this loss over time.
Voice AI developers optimize Loss Functions when training speech recognition, language models, speaker recognition, and speech synthesis systems to improve overall model accuracy and performance.