M. Najafi

PEFT unlocked: methodologies, formulas, and applications in efficient LLM adaptation with a specific focus on LoRA

This paper thoroughly analyzes the evolution of parameter optimization strategies, ranging from initial methodologies to modern advancements, elucidating their principles and applications in natural language processing (NLP) and machine learning (ML), paying special emphasis to parameter-efficient fine-tuning approaches.