Definition
Low-Rank Adaptation — a cheap fine-tuning method that trains small add-on layers instead of the whole model, so you customise big models on modest hardware.
LoRA freezes the original weights and learns a tiny set of extra parameters, capturing a new style or domain at a fraction of full fine-tuning's cost. The result is a small file you can swap in, which is why creators ship many LoRAs for one base model.
Also known as
Low-Rank Adaptation
Specialist software house for video, real-time and AI products. Founded 2005. 50 in-house engineers.
