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What is LoRA?

A plain-English explanation of LoRA (Low-Rank Adaptation) — what it means, why it matters, and how it is used in AI.

LoRA
Low-Rank Adaptation
LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning technique that enables training of very large language models without updating all their parameters.
"Using LoRA, a researcher can fine-tune a 70-billion-parameter model on a single consumer GPU."

Also known as: LoRA, Low-Rank Adaptation, parameter-efficient fine-tuning, PEFT

Fine-tuningQLoRAParametersGPU

Why does LoRA matter?

LoRA makes fine-tuning large models accessible to researchers and companies without access to massive GPU clusters.

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Fine-tuningQLoRAParametersGPU