In the evolving landscape of artificial intelligence, Large Language Models (LLMs) have become pivotal tools. These models, such as GPT-3, GPT-4, and LLaMA 3, possess remarkable capabilities, revolutionizing various fields from natural language processing to automated content generation. However, as we delve deeper into optimizing these models, the debate between fine-tuning and using methods like Continue reading