← Back to the AI Glossary 📖 Training & Fine-Tuning

Training Data

The text, images, or other content a model learns from during training — its entire understanding of the world comes from what was in this data.

This is also the source of a model's limitations and biases — if something was rare, missing, or skewed in the training data, the model's knowledge will reflect that.
One of 60 free AI glossary terms
Plain-language definitions for the AI jargon you'll actually run into — no email needed, ever, for this section.
Browse the Full Glossary →
More in Training & Fine-Tuning
Quantization
A technique that reduces the precision of a model's internal numbers to make it smaller an...
Knowledge Cutoff
The date after which an AI model has no training data — it genuinely doesn't know about an...
Catastrophic Forgetting
When fine-tuning a model on new data causes it to lose previously learned knowledge or abi...
Data Annotation / Labelling
The process of humans (or AI) tagging raw data with the correct answers or categories so a...