AI & Technology

What Is Training Data in AI?

Training data is the collection of examples used to teach a machine learning model — such as text, images, or labeled records. The model learns patterns from this data, so its quality, size, and diversity strongly influence how accurate, fair, and useful the resulting model is.

Training, Validation, and Test Data

Data is usually split into a training set to learn from, a validation set to tune settings, and a test set held back to measure how well the model performs on data it has not seen.

Data and Bias

If training data under-represents certain groups or situations, a model can perform worse for them — one source of AI bias.

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🔗 Related Terms

Machine Learning Overfitting AI Bias Supervised Learning Fine-Tuning

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Last updated: September 29, 2026. This definition is for general educational purposes only. It is not financial, investment, tax, legal, or medical advice, and it does not recommend any product or course of action. For decisions about your own situation, consult a qualified professional.