LoRA (low-rank adaptation of large language models) performs dimensional reduction on inner layers of the deep neural network used in a large language model thus reducing the cost of execution and retraining. This has economic and environmental advantages.
Used in Chap. 23: page 370
Also known as low-rank adaptation of large language models
arXiv: 
Reducing the dimensionality of inner layers to reduce re-training and runtime costs