Large Language Models (LLMs) have demonstrated remarkable capabilities across a myriad of natural language processing tasks, from content generation to complex reasoning. However, achieving peak performance and ensuring alignment with specific user needs and safety guidelines remains a significant challenge. Traditional fine-tuning approaches often fall short in capturing the nuanced preferences and implicit knowledge that […]