Google used chocolate chip cookie recipes to train an AI

Google has turned to an unusual source to train its high-tech AI: chocolate chip cookie recipes. Tasking programmers with helping an AI learn from data through trial-and-error is tedious and time-consuming, so the company has employed a neural network called Vizier to help another neural networks learn via a type of training automation called hyperparameter tuning. To teach Vizier, Google tasked it with formatting the perfect chocolate chip cookie recipe, considering taste-tester feedback until it for the recipe just right. Google has turned to an unusual source to train its high-tech AI: chocolate chip cookie recipes. The company gave chefs recipes to bake for taste-testers, who then provided feedback via a survey.