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01 ·Inference & Serving·★ MEMBER·PAPER·8 min read Paper Walkthrough: Normalized Low-Rank Adaptation — Why Normalizing LoRA's Entry Matrix Works Rescaling LoRA's down-projection so every column has unit length improves convergence, stability and forgetting resistance at zero extra cost. A ground-up reading of Normalized Low-Rank Adaptation (NoRA) through the lens of a hidden preconditioner.