SMRTR summary
Ternary AI models store weights as -1, 0, or +1, but standard storage assumes equal distribution of these values. Since zeros make up over half the weights in real models, a new method called BITCOS stores them more efficiently, achieving 1.485 bits per weight and boosting AI inference speed by up to 28%.
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