Microsoft Researchers Unveil FP8 Mixed-Precision Training Framework: Supercharging Large Language Model Training Efficiency

Large language models have shown previously unheard-of proficiency in language creation and comprehension, paving the way for advances in logic, mathematics, physics, and other fields. But LLM training is quite expensive. To train a 540B model, for instance, PaLM needs 6,144 TPUv4 chips, whereas GPT-3 175B needs several thousand petaflop/s-days of computation for pre-training. This […]

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