Exploring Prompt Engineering: A Systematic Review with SWOT Analysis

Abstract: In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of LLMs. Emphasizing linguistic principles, we examine various techniques to identify their strengths, weaknesses, opportunities, and threats. Our findings provide insights into enhancing AI interactions and improving LLM comprehension of human prompts. The analysis covers techniques including template-based approaches and fine-tuning, addressing the problems and challenges associated with each. The conclusion offers future research directions aimed at advancing the effectiveness of prompt engineering in optimizing human-machine communication.