claim
Parameter-Efficient Fine-Tuning (PEFT) methods aim to optimize a small subset of model parameters to instill new, specific knowledge while preserving or enhancing the model's foundational knowledge.
Authors
Sources
- A Survey on the Theory and Mechanism of Large Language Models arxiv.org via serper
Referenced by nodes (1)
- Parameter-Efficient Fine-Tuning concept