Cherry on the cake? Do it in a couple lines of code!

Evaluating ML models requires extensive human and financial commitment. AutoEval combines AI-generated synthetic labels with a small amount of human-labeled data for reliable and cost-effective evaluation. This reduces annotation effort while improving evaluation precision.