DoRA: Weight-Decomposed Low-Rank Adaptation

from Embodied AI 101 · host Shaoqing Tan

An upgrade over LoRA for parameter-efficient fine-tuning, enabling better performance in LLMs by decomposing weights into magnitude and direction components.

Episode metadata supplied by the publisher feed · Published Apr 6, 2026

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DoRA: Weight-Decomposed Low-Rank Adaptation

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