Supervised learning

AI fundamentals

Supervised learning trains a model on labelled examples: each input comes with the right answer (this email is spam, this image shows a cat). The model learns to reproduce these labels, then generalises to unseen cases. It is the approach behind classification and regression.

In practice at Gensai

Gensai uses it for instance to evaluate its systems: validated question-answer sets serve as a quality benchmark.

Same theme

Artificial intelligence (AI)Algorithm Data Dataset Model (AI)Machine learning Deep learning Neural network Unsupervised learning Reinforcement learning Classification Regression Prediction Training Inference Parameters Hyperparameters Bias (AI)