Training Data

Training data is a collection of text, images, audio recordings, or other data that an AI model uses during training to learn to recognize patterns, connections, and relationships between individual elements. The quality, scope, timeliness, and diversity of the training data directly influence the performance, accuracy, and bias of the resulting model—the model can only learn what is present in its input data.