Representation Fine-Tuning (ReFT) is a technique to fine-tune LLMs for specific tasks based by only modifying a small fraction of their representations.
ReFT outperforms PEFT methods in fine-tuning LLMs
ReFT outperforms PEFT methods in fine-tuning…
ReFT outperforms PEFT methods in fine-tuning LLMs
Representation Fine-Tuning (ReFT) is a technique to fine-tune LLMs for specific tasks based by only modifying a small fraction of their representations.