This paper examines the relationship between Large Language Models (LLMs) and Small Models (SMs), exploring their potential for collaboration and competition in the current landscape dominated by LLMs. It argues that while LLMs have made significant advancements, SMs remain relevant and valuable due to their practicality and efficiency.
A review of recent research and a custom implementatuon
