Results 241 to 250 of about 370,431 (273)

Snuffelen aan prompt engineering

In alle media wemelt het van de artikelen over AI en large language models, en hoe die de toekomst van de mensheid gaan veranderen. Steeds meer ‘samenwerken’ met generatieve AI lijkt onvermijdelijk, maar zijn de tools nu al goed genoeg? Het is tijd om ze te gaan uitproberen. Dit artikel verscheen oorspronkelijk in digitale vorm in IP #1 - 2024.
openaire   +1 more source

Prompting Change: Exploring Prompt Engineering in Large Language Model AI and Its Potential to Transform Education

TechTrends, 2023
William Cain
exaly  

Tools to facilitate communication during physician‐patient consultations in cancer care: An overview of systematic reviews

Ca-A Cancer Journal for Clinicians, 2019
Sharon Licqurish, Christobel Saunders Frcs, Fracs, Michael Jefford   +2 more
exaly  

Constructing Effective Prompts Using Prompt Engineering

Nurse Educator
Jeeyae Choi, Darlene Hicks, Shamatree Shakya, Seoyoon Woo, Yea-Jyh Chen, Yeounsoo Kim   +5 more
openaire   +1 more source

Model-Driven Prompt Engineering

2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS), 2023
Robert Clarisó, Jordi Cabot
openaire   +1 more source

Helicobacter pylori test-and-eradicate versus prompt endoscopy for management of dyspeptic patients: a randomised trial

Lancet, The, 2000
Annmarie Lassen
exaly  

Turning off the tap: stopping tuberculosis transmission through active case-finding and prompt effective treatment

Lancet, The, 2015
Courtney M Yuen, Farhana Amanullah, Edward A Nardell   +2 more
exaly  

Generative Prompt Engineering

Francisco S. Marcondes, Adelino Gala, Renata Magalhães, Fernando Perez de Britto, Dalila Durães, Paulo Novais   +5 more
openaire   +1 more source

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

International Journal of Human-Computer Interaction
Jonas Oppenlaender, Rhema Linder, Johanna Silvennoinen   +2 more
exaly  

Semantic understanding and prompt engineering for large-scale traffic data imputation

Information Fusion
Kunpeng Zhang, Lan Wu
exaly