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With the rapid adoption of AI in the form of large language models (LLMs), the potential value of carefully engineered prompts has become significant.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
E.M. Bender, T. Gebru, A. McMillan-Major, and S. Shmitchell · 2021
Earlier work this paper cites.
Ignore Previous Prompt: Attack Techniques for Language Models
F. Perez and I. Ribeiro · 2022
Earlier work this paper cites.
Sparks of Artificial General Intelligence: Early Experiments with GPT-4
S. Bubeck, V. Chandrasekaran, and E. Horvitz · 2023
Earlier work this paper cites.
Emergent Behavior in System of Systems Engineering: Real-World Applications
L.B. Rainey and O.T. Holland, editors · 2023
Cited alongside, same era.
Will ChatGPT/GPT-4 be a Lighthouse to Guide Spinal Surgeons?
Y. He, H. Tang, D. Wang, S. Gu, G. Ni, and H. Wu · 2023
Cited alongside, same era.
Prompt Engineering for Healthcare: Methodologies and Applications
J. Wang, E. Shi, S. Yu, Z. Wu, C. Ma, H. Dai, Q. Yang, Y. Kang, J. Wu, H. Hu, C. Yue, H. Zhang, Y. Liu, X. Li, B. Ge, D. Zhu, Y. Yuan, D. Shen, T. Liu, and S. Zhang
Cited in the paper.
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Y. Wang, Y. Pan, M. Yan, Z. Su, and T.H. Luan
Cited in the paper.
Geotechnical Parrot tales (GPT): Harnessing Large Language Models in geotechnical engineering
K. Kumar · 2023
Closest in time.
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
J. White, Q. Fu, S. Hays, M. Sandborn, C. Olea, H. Gilbert, A. Elnashar, J. Spencer-Smith, and D.C. Schmidt · 2023
Closest in time.
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