claim
Sparse Matrix Tuning is a development based on the insight that fine-tuning attention layers is more critical than tuning MLP layers, and it targets high-impact parameters.
Authors
Sources
- A Survey on the Theory and Mechanism of Large Language Models arxiv.org via serper
Referenced by nodes (1)
- fine-tuning concept