Technical Terms
LoRA (Low-Rank Adaptation)
Definition
An efficient fine-tuning technique that trains only a small number of additional parameters instead of modifying the entire model. LoRA dramatically reduces the compute and memory required for fine-tuning, making it practical on consumer hardware.
In Plain English
A clever shortcut for customising AI models without needing a supercomputer. Instead of retraining the whole model (expensive), LoRA adds small "adapter" layers that steer the model's behaviour — like adding a lens filter to a camera instead of buying a new camera.