Parameter-Efficient Fine-Tuning (PEFT) methods, as researched by He et al. (2021) and Raffel et al. (2020b), aim to adapt models by optimizing only a small subset of parameters to reduce computational burden.

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