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Param-efficient fine-tuning has emerged as a critical technique in the field of natural language processing (NLP). It enables us to modify large language models (LLMs) for specialized tasks while controlling the number of check here variables that are adjusted. This approach offers several benefits, including reduced resource costs, faster calibrat