Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Evaluating ChatGPT’s Multilingual Performance in Clinical Nutrition Advice Using Synthetic Medical Text: Insights from Central Asia
10
Zitationen
6
Autoren
2024
Jahr
Abstract
Our findings show that, despite using identical prompts across 3 distinct languages, the ChatGPT-4's capability to produce sensible outputs is limited by the lack of training data in non-English languages. Thus, a customized large language model should be developed to perform better in underrepresented languages and to take into account specific local diets and practices.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.287 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.140 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.534 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.450 Zit.