Why Gradient Descent Became Stochastic

# Why AI Training Methods Keep Changing Training AI models used to require processing all your data at once, which was slow and memory-hungry. Engineers discovered they could get better results faster by feeding the system random chunks of data during training instead, letting it learn in smaller, smarter steps. This shift from processing everything to processing pieces is why modern AI systems train more efficiently than older methods.