Neural Architecture Search (NAS) is a method where computer programs automatically find the best structure for an artificial neural network.
Imagine you are building a house, but instead of deciding yourself how many rooms or windows it should have, you let a robot try out different variants to find out which house is the most stable and beautiful.
In this way, a NAS system automatically searches for the best combination of building blocks that makes an AI model work particularly well.
This helps to develop better AI models without humans having to set all the details manually.