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
Used in glossary entries: large language model
Links:
eecs.mit.edu: Learning to grow machine-learning models