Skeleton-of-Thought (SoT) is an innovative prompt engineering technique that minimizes generation latency in Large Language Models (LLMs), enhancing their efficiency By creating a skeleton of the answer and then parallelly elaborating on each point, SoT emulates human thinking, promoting more reliab
