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Prompt Engineering in Healthcare

Electronics
The rapid advancements in artificial intelligence, particularly generative AI and large language models, have unlocked new possibilities for revolutionizing healthcare delivery. However, harnessing the full potential of these technologies requires effective prompt engineering—designing and optimizing input prompts to guide AI systems toward generating ...
Thomas F Heston, Rajvardhan Patil, Vijay Bhuse   +2 more
exaly   +3 more sources

Prompt Engineering a Prompt Engineer [PDF]

Findings of the Association for Computational Linguistics ACL 2024
Prompt engineering is a challenging yet crucial task for optimizing the performance of large language models on customized tasks. It requires complex reasoning to examine the model's errors, hypothesize what is missing or misleading in the current prompt, and communicate the task with clarity.
Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani   +3 more
core   +5 more sources

CYUT at the NTCIR-17 FinArg-1 Task2: A Quantitative Prompt Engineering Approach for Identifying Attack and Support Argumentative Relations in Social Media Discussion Threads [PDF]

, 2023
This paper reports our prompt engineering approach to the FinArg-1 task. In year 2023, we focus on task 2. Our system adopts the GPT3.5 generation model to evaluate the argumentative relations in social media discussion threads.
Shih-Hung Wu, Tsung Hsun Tsai
core   +1 more source

Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT

Entrepreneurial Business and Economics Review, 2023
Objective: The article aims to offer a thorough examination and comprehension of the challenges and prospects connected with artificial intelligence (AI) prompt engineering. Our research aimed to create a theoretical framework that would
Pawel Korzynski, Grzegorz Mazurek, Pamela Krzypkowska, Artur Kurasinski   +3 more
doaj   +1 more source

Prompt Engineering for Scale Development in Generative Psychometrics

This Monte Carlo simulation examines how prompt engineering strategies shape the quality of large language model (LLM)–generated personality assessment items within the AI-GENIE framework for generative psychometrics.
Hudson Golino, Lara Lee Russell-Lasalandra   +1 more
core   +6 more sources

Prompt Engineering: a methodology for optimizing interactions with AI-Language Models in the field of engineering

Dyna, 2023
ChatGPT is a versatile conversational Artificial Intelligence model that responds to user input prompts, with applications in academia and various sectors.
Juan David Velásquez-Henao, Carlos Jaime Franco-Cardona, Lorena Cadavid-Higuita   +2 more
doaj   +1 more source

Direct evidence of lipid translocation between adipocytes and prostate cancer cells with imaging FTIR microspectroscopy

Journal of Lipid Research, 2007
Various epidemiological studies show a positive correlation between high intake of dietary FAs and metastatic prostate cancer (CaP). Moreover, CaP metastasizes to the bone marrow, which harbors a rich source of lipids stored within adipocytes.
Ehsan Gazi, Peter Gardner, Nicholas P. Lockyer, Claire A. Hart, Michael D. Brown, Noel W. Clarke   +5 more
doaj   +1 more source

Unleashing the potential of prompt engineering for large language models [PDF]

Patterns
Nicolas Langrené, Shengxin Zhu
exaly   +2 more sources

Prompt engineering guidelines for LLMs in Requirements Engineering [PDF]

, 2023
The rapid emergence of large generative AI models has demonstrated their utility across a multitude of tasks. Ensuring the quality and accuracy of the models’ output is done in different ways. In this study, we focused on prompt engineering.
Arvidsson, Simon, Axell, Johan
core   +1 more source

From Prompt Engineering to Prompt Craft

Proceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction
Pictorial paper, 12 ...
Joseph Lindley, Roger Whitham
openaire   +4 more sources