Optimizing with CPUs
Training large language models on CPUs can be a lengthy process, often taking an impractical amount of time compared to GPUs. However, while GPUs excel in parallel processing, they aren't always the best choice for mathematical optimization tasks due to their complexity. Notably, matrix factorization is one area where GPUs can shine, but for many optimization algorithms, CPUs remain the more effective option.In this clip
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