AIBullisharXiv – CS AI · 3h ago7/10
🧠
Efficient Pre-Training of LLMs through Truncated SVD Layers
Researchers introduce TSVD, a framework for training Large Language Models more efficiently by maintaining low-rank representations and strict weight orthonormality throughout pretraining. The method uses adaptive rank selection and caching mechanisms to reduce computational overhead while matching or exceeding the performance of standard full-parameter models.