Fine-tuning large language models (LLMs) has emerged as a crucial technique to adapt these architectures for specific applications. Traditionally, fine-tuning relied on abundant datasets. However, Data-Centric Fine-Tuning (DCFT) presents a novel approach that shifts the focus from simply increasing dataset size to enhancing data quality and relevan