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Tensor methods could unlock significant efficiency gains in LLMs, bridging the gap between theoretical compression and real-world performance.
Unlock a new universe of optimization algorithms by swapping out your usual entropy with group entropies, and watch your Mirror Descent adapt to the hidden geometry of your data.