LoRA-the-Explorer (LTE)
extends low-rank adaptation (LoRA) methods to the Transformer Pretraining
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
The scalability of deep learning models is fundamentally limited by computing resources, memory, and communication. Although methods like low-rank adaptation (LoRA) have reduced the cost of model...
https://arxiv.org/abs/2402.16828


Seonglae Cho