LiGO (Linear Growth Operator) is a method to reduce the computation needed to train large language models thus both improving computational effeiciency and reducing environmental cost.
Used in Chap. 23: page 370
Also known as linear growth operator
Links:
eecs.mit.edu: Learning to grow machine-learning models