This paper examines the foundational principles, structural anatomy, and advanced techniques that govern the design of high-quality prompts for large language models. Topics covered include Chain-of-Thought prompting, Few-Shot learning, Role Prompting, and common failure modes with remedies.
Ayham AlMazyad (Thu,) studied this question.