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Normalized Low-Rank Adaptation accelerates training and enhances performance without increasing model complexity or inference costs.
PEFT methods aren't just about downstream accuracy; they have distinct "stability-plasticity profiles" that reveal how well they retain general capabilities, and most overshoot the optimal balance anyway.
