Model Card

Friendly Description: A model card is like a nutrition label for an AI model. It tells you what the model is for, what data it learned from, how well it scores on common tests, where it tends to fall short, and what it shouldn't be used for. Reading a model card before adopting an AI helps you make a smart, safe choice.

Example: Before integrating a new model into a healthcare app, a developer might read its model card and notice it was only trained on data from one country, or that it underperforms on certain age groups. That information helps them decide whether to use it as-is, fine-tune it, or pick a different model entirely.