PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models

Zhou Mingjun, Daiqing Zhuoma, Qun Nuo +1

In this era of large language models (LLMs), the traditional training of models has become increasingly unimaginable for regular users and institutions. The exploration of efficien…