Results 21 to 30 of about 56,942 (277)

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

Patterns
Nicolas Langrene, Shengxin Zhu
exaly   +2 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

Prompt engineering of GPT-4 for chemical research: what can/cannot be done? [PDF]

, 2023
This paper evaluates the capabilities and limitations of the Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that the quality of input data significantly affects its ...
Yasuhiko , Igarashi, Yuta , Nabae, Kan, Hatakeyama-Sato, Naoki , Yamane, Teruaki , Hayakawa   +4 more
core   +1 more source

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  

Prompt Engineering: for Students of Medicine and Their Teachers [PDF]

, 2023
"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
Heston, Thomas F, Heston, Thomas
core   +2 more sources

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

CoRR, 2023
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities (and quantities) of generated output.
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, Douglas C. Schmidt   +8 more
openaire   +2 more sources

Prompt Engineering for Text-to-image Synthesis [PDF]

, 2022
Presentation on the text-to-image synthesis (AI art) community and its prompt engineering ...
Jonas Oppenlaender (4813044)
core   +1 more source

Prompt Engineering as a Key Competence in Education: Concept, Characteristics, and Assessment Approaches

Высшее образование в России
In the context of the rapid development of Generative Artificial Intelligence (GenAI), prompt engineering is becoming a key competence for effective interaction with large language models in educational settings.
M. A. Davlatova, M. V. Speranskaia
doaj   +1 more source

Evaluating the effectiveness of prompt engineering for knowledge graph question answering [PDF]

Frontiers in Artificial Intelligence
Kurt Stockinger, Stockinger Kurt
exaly   +2 more sources