Loss Function

The function that scores how wrong a model's prediction is. Training minimizes the average loss across examples. Cross-entropy loss is the standard for classification and language modeling; mean squared error is common for regression. The choice of loss shapes what the model optimizes for.

Definición editorial de DecipherU. Para definiciones técnicas autorizadas, consulta NIST AI RMF, ISO/IEC 42001, o las publicaciones oficiales de los laboratorios de IA.