Param-efficient fine-tuning has emerged as a powerful technique in the field of natural language processing (NLP). It enables us to adapt large language models (LLMs) for targeted tasks while controlling the number of weights that are adjusted. This methodology offers several strengths, including reduced training costs, faster adaptation times, … Read More