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