Artificial Entanglement in the Fine-Tuning of Large Language Models

Min Chen, Zihan Wang, Canyu Chen +3

Large language models (LLMs) can be adapted to new tasks using parameter-efficient fine-tuning (PEFT) methods that modify only a small number of trainable parameters, often through…