PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts

Anjir Ahmed Chowdhury, Syed Zawad, Xiaolong Ma +2

Parameter-Efficient Fine-Tuning (PEFT) is widely used for adapting Large Language Models (LLMs) for various tasks. Recently, there has been an increasing demand for fine-tuning a s…