“Training GPT-3 with 175 billion parameters would require approximately 36 years with 8 V100 GPUs.” Training large machine learning models calls for huge compute power (~in hundreds of exaflops), efficient memory management for a reduced memory footprint and other tweaks. But, language models have grown at a great pace. In a span of two years,…

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