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