Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks. Nevertheless, achieving optimal performance often requires careful optimization. One crucial aspect is data selection. LLMs are fed on massive datasets, and the accuracy of this data directly impacts model performance. Furthermore, hyperpar