Where is Backpropagation used in practice?

Backpropagation through large transformers requires substantial memory to store intermediate activations, which is why techniques like gradient checkpointing, mixed precision training, and FSDP are essential at frontier scale. AI governance teams document training configurations including optimizer, learning rate, batch size, and gradient clipping as part of their model lineage. The pl