Exploring Prompt Engineering: A Systematic Review with SWOT Analysis

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In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of Large Language Models (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 language model comprehension of human prompts.
• The analysis covers techniques including template-based approaches and fine-tuning, addressing the problems and challenges associated with each.