Abstract
This paper reviews how prompt engineering can optimize interactions with advanced AI systems called Large Language Models (LLMs). Prompt engineering involves designing inputs like questions or instructions that guide AI to produce accurate and useful responses. These techniques are analyzed using a SWOT framework (strengths, weaknesses, opportunities, and threats), offering insights for researchers and developers. Additionally, applications across industries such as healthcare, education, and customer service are discussed, while highlighting challenges such as maintaining accuracy and efficiency. The findings aim to advance human-machine communication in both general and domain-specific contexts.
| Original language | English |
|---|---|
| Number of pages | 15 |
| Journal | IEEE Transactions on Artificial Intelligence |
| DOIs | |
| State | Accepted/In press - Jan 1 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Large Language Model
- Natural Language Processing
- Prompt Engineering
- Prompt Engineering Techniques
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