Added Topic "How to use multiple GPUs for training". #14
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To harness the power of multiple GPUs in PyTorch, the most efficient approach is to utilize Distributed Data Parallel (DDP). This method allows you to train your model across several GPUs, where each GPU computes gradients independently and synchronizes them, ensuring efficient training. I added this topic to the "readme.md" file.