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**M4mb0**
t1_ir7396d wrote

Reply to comment by **ReginaldIII** in **[R] Discovering Faster Matrix Multiplication Algorithms With Reinforcement Learning** by **EducationalCicada**

Not really. There are other reason why fast matrix multiplication almost like Strassen are not used in practice, and are more of theoretical importance than practical. In particular, numerical stability is often a concern.

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**Thorusss**
t1_ir9ps2x wrote

True. But nummerical stability is much more important in long running simulations like weather forecast, than in deep neural network training.

There is a reason they are often benchmarked with single or even half precision.

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