Efficient Pre-Training of LLMs through Truncated SVD Representations

Kaivan Kamali, Kajetan Schweighofer, Hormoz Shahrzad +3

LLM pretraining is extremely costly; therefore, parameter-efficient LLM architectures have recently emerged as a compelling research direction. One such promising approach is to re…