Technique Updated 2026-04
Overfitting
Definition
Overfitting occurs when an AI model has over-learned the training data and fails to generalize to new data.
See also in the glossary
M
Machine Learning
Machine Learning is a branch of AI where systems learn from data to improve their performance without being explicitly programmed for each task.
F
Fine-tuning
Fine-tuning is the process of retraining an existing AI model on a specific dataset to adapt it to a particular domain or task.
D
Deep Learning
Deep Learning is a subset of Machine Learning using multi-layered neural networks to learn complex representations from raw data.
A
AI Benchmark
An AI benchmark is a standardized test that measures and compares AI model performance on specific tasks.
Tools that use overfitting
Frequently Asked Questions
How to detect overfitting?
When the model performs well on training data but poorly on new data. The gap between both scores is the classic sign.
How to prevent overfitting?
More training data, regularization, early stopping, data augmentation and cross-validation.
