Prompt Engineering For Students of Medicine and Their Teachers
Thomas F. Heston

TL;DR
This paper explores how prompt engineering principles used in AI can enhance medical education by improving student understanding and teaching methods through carefully crafted prompts.
Contribution
It introduces a comprehensive guide applying prompt engineering techniques to medical education, bridging AI methods with teaching strategies for the first time.
Findings
Prompt engineering improves student comprehension in medical subjects.
Effective prompts lead to deeper critical thinking among students.
The approach is practical and immediately applicable in medical teaching.
Abstract
"Prompt Engineering for Students of Medicine and Their Teachers" brings the principles of prompt engineering for large language models such as ChatGPT and Google Bard to medical education. This book contains a comprehensive guide to prompt engineering to help both teachers and students improve education in the medical field. Just as prompt engineering is critical in getting good information out of an AI, it is also critical to get students to think and understand more deeply. The principles of prompt engineering that we have learned from AI systems have the potential to simultaneously revolutionize learning in the healthcare field. The book analyzes from multiple angles the anatomy of a good prompt for both AI models and students. The different types of prompts are examined, showing how each style has unique characteristics and applications. The principles of prompt engineering, applied…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education
