The Frontier
AI 101 — What is overfitting?
Overfitting is when a model learns its training data too well — it gets the examples it has already seen almost perfect, then performs worse on anything new. Since the entire job of a model is to handle cases nobody showed it, overfitting is the most common way an AI system looks brilliant in a demo and disappoints in production. The term shows up in almost every model release, fine-tuning guide and benchmark write-up, and it is rarely explained. The short version: a model is only worth anythin
