Training data is the dataset used to teach an AI model how to make predictions or decisions. The quality and quantity of training data directly impact model performance - garbage in, garbage out.

NYD Application: User interaction logs, design patterns, and code repositories serve as training data for our AI tools.

Example: "We fed the model 10,000 successful project examples to train it on best practices."