What is your experience with parallelizing transformers, and how do you approach splitting them across multiple devices to minimize latency?

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Accepted Answer

I have experience parallelizing transformers by splitting them across multiple devices to minimize latency.

I have utilized frameworks like TensorFlow and PyTorch to parallelize transformers.
I approach splitting transformers by dividing the input data into chunks and distributing them across devices.
I optimize communication overhead by minimizing data transfer between devices.
I leverage techniques like data parallelism and model parallelism to efficiently parallelize transformers.
I have experience with distributed training using tools like Horovod to parallelize transformers across multiple GPUs or nodes.

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