Exploring the role of large language models in radiation emergency response DOI Creative Commons
Anirudh Chandra, Abinash Chakraborty

Journal of Radiological Protection, Journal Year: 2024, Volume and Issue: 44(1), P. 011510 - 011510

Published: Feb. 7, 2024

Abstract In recent times, the field of artificial intelligence (AI) has been transformed by introduction large language models (LLMs). These models, popularized OpenAI’s GPT-3, have demonstrated emergent capabilities AI in comprehending and producing text resembling human language, which helped them transform several industries. But its role yet to be explored nuclear industry, specifically managing radiation emergencies. The present work explores LLMs’ contextual awareness, natural interaction, their capacity comprehend diverse queries a emergency response setting. this study we identify different user types specific LLM use-cases Their possible interactions with ChatGPT, popular LLM, also simulated preliminary results are presented. Drawing on insights gained from exercise address concerns reliability misinformation, advocates for expert guided domain-specific LLMs trained safety protocols historical data. This aims guide management practitioners decision-makers effectively incorporating into decision support framework.

Language: Английский

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance DOI
Isaac Triguero, Daniel Molina, Javier Poyatos

et al.

Information Fusion, Journal Year: 2023, Volume and Issue: 103, P. 102135 - 102135

Published: Nov. 8, 2023

Language: Английский

Citations

21
Hallucination or Confabulation? Neuroanatomy as metaphor in Large Language Models DOI Creative Commons
Andrew L. Smith, Felix Greaves, Trishan Panch

et al.

PLOS Digital Health, Journal Year: 2023, Volume and Issue: 2(11), P. e0000388 - e0000388

Published: Nov. 1, 2023

Language: Английский

Citations

20
Beyond the Keyboard: Academic Writing in the Era of ChatGPT DOI Creative Commons
Bohdana Doskaliuk, Olena Zimba

Journal of Korean Medical Science, Journal Year: 2023, Volume and Issue: 38(26)

Published: Jan. 1, 2023

Language: Английский

Citations

16
La inteligencia artificial generativa y la educación universitaria DOI Open Access
Melchor Sánchez Mendiola, Erik Carbajal-Degante

Perfiles Educativos, Journal Year: 2023, Volume and Issue: 45(Especial), P. 70 - 86

Published: Nov. 18, 2023

La inteligencia artificial generativa (IAG) ha adquirido gran relevancia en todo el mundo. El objetivo de este escrito es proveer elementos para la discusión académica sobre IAG y su potencial educativo, así como analizar críticamente sus ventajas desventajas. Las implicaciones uso educativo están empezando a ser identificadas. Ninguna innovación había tenido una difusión tan rápida estas herramientas, cuyo principal ejemplo ChatGPT. Esto generado brecha entre las expectativas comunidad educativa evaluación formal del impacto real actividades enseñanza aprendizaje, virtud que investigaciones formales apenas comienzan. Se concluye herramientas tienen un limitaciones posibles efectos negativos, deben analizados con rigor académico por los diversos actores participan acto docentes, estudiantes e instituciones educativas aprovechen adecuadamente.

Citations

16
Exploring the role of large language models in radiation emergency response DOI Creative Commons
Anirudh Chandra, Abinash Chakraborty

Journal of Radiological Protection, Journal Year: 2024, Volume and Issue: 44(1), P. 011510 - 011510

Published: Feb. 7, 2024

Abstract In recent times, the field of artificial intelligence (AI) has been transformed by introduction large language models (LLMs). These models, popularized OpenAI’s GPT-3, have demonstrated emergent capabilities AI in comprehending and producing text resembling human language, which helped them transform several industries. But its role yet to be explored nuclear industry, specifically managing radiation emergencies. The present work explores LLMs’ contextual awareness, natural interaction, their capacity comprehend diverse queries a emergency response setting. this study we identify different user types specific LLM use-cases Their possible interactions with ChatGPT, popular LLM, also simulated preliminary results are presented. Drawing on insights gained from exercise address concerns reliability misinformation, advocates for expert guided domain-specific LLMs trained safety protocols historical data. This aims guide management practitioners decision-makers effectively incorporating into decision support framework.

Language: Английский

Citations

6