A/B Testing (AI)

A controlled experiment comparing the performance of two or more AI model variants on live traffic to determine which performs better on specified metrics.

Running two versions of an AI simultaneously to see which performs better. Half your customers see AI version A and half see version B, then you compare results to pick the winner.