Data & Evaluation
Glossary
Training Data
The examples a model learns from, whose quality and coverage shape its behaviour.
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Training data is the collection of text, images or other records used to fit a model. Its size, diversity, licensing and cleanliness all affect what the finished model knows and how fair it is. Much of the work in applied AI is not model building but curating, labelling and maintaining high-quality data.
Related terms
Fine-tuning
Further training a pre-trained model on a smaller, task-specific dataset so it specialises.
Overfitting
When a model memorises training examples instead of learning patterns that generalise.
Bias
Systematic unfairness in a model's outputs, usually inherited from its training data or design choices.
Supervised Learning
Training with labelled examples, where each input comes with the correct answer.
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