From PyTorch to PyTorch Fabric

Lightning Fabric integrates the flexibility of PyTorch with the convenience of distributed training features, like those in PyTorch Lightning. It simplifies model scaling with minimal code changes, such as importing the lightning module, configuring the Fabric object for system hardware, and replacing specific calls like `loss.backward()` with `fabric.backward(loss)`. Learn how to scale models efficiently with step-by-step instructions and leverage hardware like CPU, TPU, and GPU.