Neural architecture search is like when a computer solves a complicated puzzle. It looks at lots of different combinations of different pieces to find the combination that best solves the puzzle. In this case, the pieces that the computer looks at are different kinds of artificial neural networks that can be used to solve different problems. The computer will look at different kinds of network architectures and try to find the one that best solves the problem. So it's like the computer is searching through different kinds of puzzles to find the puzzle that solves the problem the best.