Examines prompt design for language models, highlighting techniques and common issues with solutions.
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.
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Ayham AlMazyad (2026) studied this question.
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