Parameter-Efficient Fine-Tuning for Medical Text Summarization: A Comparative Study of Lora, Prompt Tuning, and Full Fine-Tuning

Parameter-Efficient Fine-Tuning for Medical Text Summarization: A Comparative Study of Lora, Prompt Tuning, and Full Fine-Tuning explores Achieve state-of-the-art medical text summarization with significantly reduced computational cost using parameter-efficient fine-tuning techniques like LoRA.. Commercial viability score: 7/10 in Medical AI.