Exploring Prompt Engineering: A Systematic Review with SWOT Analysis

• URL: http://arxiv.org/abs/2410.12843v1
• Date: Wed, 09 Oct 2024 19:48:35 GMT
• Title: Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
• Authors: Aditi Singh, Abul Ehtesham, Gaurav Kumar Gupta, Nikhil Kumar Chatta, Saket Kumar, Tala Talaei Khoei,
• Abstract summary: 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.
• Score: 0.74454067778951
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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. The conclusion offers future research directions aimed at advancing the effectiveness of prompt engineering in optimizing human-machine communication.

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