Neural architecture search

Neural Architecture Search (NAS) is a method that automatically finds the best design for a neural network, which is a model used in artificial intelligence. Instead of manually designing the network structure, NAS explores many possible configurations—like how many layers or nodes it should have—and tests which ones work best for a specific task. This process helps create more efficient and effective AI models without extensive manual tuning, ultimately saving time and improving performance in applications like image recognition, language processing, and more.