Fine-tuning advanced language models (LLMs) has emerged as a crucial technique to adapt these systems for specific applications. Traditionally, fine-tuning relied on extensive datasets. However, Data-Centric Fine-Tuning (DCFT) presents a novel methodology that shifts the focus from simply increasing dataset size to improving data quality and approp