Parameter-Efficient LLM Finetuning With Low-Rank Adaptation (LoRA)

  Why Finetuning? Pretrained large language models are often referred to as foundation models for a good reason: they perform well on various tasks, and we can use them as a foundation for finetuning on a target task. As discussed in our previous article (Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to... Read more »

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