Low-Rank Adaptation of Large Language Models
How does LoRA work?
LoRA freezes the pre-trained model weights and injects trainable rank decomposition matrices into each layer of the Transformer architecture.
They use a random Gaussian initialization for \(A\) and zero for \(B\), so \(\Delta W = BA\) is zero at the beginning of training.
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