Improving LoRA: Implementing Weight-Decomposed Low-Rank Adap

This article implements LoRA (low-rank adaptation), an parameter-efficient finetuning technique for LLMs from scratch and discussed the newest and most promising variant: DoRA (Weight-Decomposed Low-Rank Adaptation).

Related Keywords

, Weight Decomposed Low Rank Adaptation , Large Language Model , Lightning Studio , Implement Low Rank Adaptation , Simple Reparameterization , Accelerate Training , Deep Neural Networks , Practical Tips , Low Rank Adaptation , Pytorch Lightning Studio ,