Distributed Data Parallelism (Parallel Processing, often abbreviated as DDp) represents a powerful technique for scaling ML model training across multiple devices, like GPUs or machines. This approach involves https://ddp878797.veronicablog.com/61904972/distributed-data-explanation-to-parallel-processing