# Model

> Source: https://sukruyusufkaya.com/en/glossary/model
> Updated: 2026-05-13T19:59:49.795Z
> Type: glossary
> Category: yapay-zeka-temelleri
**TLDR:** A mathematical or algorithmic structure that learns the relationship between inputs and outputs and applies it to new data.

<p>A model is the core of an AI system. In simple terms, it is a mathematical structure that learns relationships, patterns, or distributions in data and applies them to new examples. But treating a model as just an “algorithm” is too narrow. Its real value is measured not by laboratory accuracy alone, but by how reliable, consistent, cost-effective, and generalizable it is in real-world use. A strong model does more than fit training data well; it also produces sensible outputs in new situations. For that reason, the concept of a model must be approached not only technically, but also from product, operational, and quality perspectives.</p>