Zhao et al. (2024b) propose a memory-efficient training strategy for Parameter-Efficient Fine-Tuning (PEFT) that performs gradient updates within a projected low-rank subspace.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• Parameter-Efficient Fine-Tuning concept