Techniques for Training Large Neural Networks (openai.com)

Summary:

• Large neural networks require complex engineering to train, involving GPU clusters and synchronized calculations.
• Parallelism techniques such as data, pipeline, tensor parallelism, and mixture-of-experts help distribute training across multiple GPUs.