Results 91 to 100 of about 70,803 (186)

Densing law of LLMs

Nature Machine Intelligence
Abstract Large language models (LLMs) have emerged as a milestone in artificial intelligence. The scaling law indicates that the performance of LLMs can continually improve as the model size increases, which poses challenges for training and deployment.
Chaojun Xiao, Jie Cai, Weilin Zhao, Biyuan Lin, Guoyang Zeng, Jie Zhou, Zhi Zheng, Xu Han, Zhiyuan Liu, Maosong Sun   +9 more
openaire   +2 more sources

Assessing clinical medicine students’ acceptance of large language model: based on technology acceptance model

BMC Medical Education
While large language models (LLMs) have demonstrated significant potential in medical education, there is limited understanding of medical students’ acceptance of LLMs and the factors influencing their use.
Fuze Liu, Xiao Chang, Qi Zhu, Yue Huang, Yifei Li, Hai Wang   +5 more
doaj   +1 more source

Overeducation and spatial flexibility in Italian local labour markets [PDF]

According to a recent strand of literature this paper highlights the relevance of spatial mobility as an explanatory factor of the individual risk of being overeducated.
Croce, Giuseppe, Ghignoni, Emanuela
core   +1 more source

Skin and Syntax: Large Language Models in Dermatopathology

Dermatopathology
This literature review introduces the integration of Large Language Models (LLMs) in the field of dermatopathology, outlining their potential benefits, challenges, and prospects.
Asghar Shah, Samer Wahood, Dorra Guermazi, Candice E. Brem, Elie Saliba   +4 more
doaj   +1 more source

A novel prompting method for few-shot NER via LLMs

Natural Language Processing Journal
In various natural language processing tasks, significant strides have been made by Large Language Models (LLMs). Researchers leverage prompt method to conduct LLMs in accomplishing specific tasks under few-shot conditions.
Qi Cheng, Liqiong Chen, Zhixing Hu, Juan Tang, Qiang Xu, Binbin Ning   +5 more
doaj   +1 more source

Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol.

PLoS ONE
BackgroundThe advancement of Artificial Intelligence, particularly Large Language Models (LLMs), is rapidly progressing. LLMs, such as OpenAI's GPT, are becoming vital in scientific and medical processes, including text production, knowledge synthesis ...
Urs Alexander Fichtner, Jochen Knaus, Erika Graf, Georg Koch, Jörg Sahlmann, Dominikus Stelzer, Martin Wolkewitz, Harald Binder, Susanne Weber   +8 more
doaj   +1 more source

How does immigration affect native internal mobility? New evidence from Italy [PDF]

This paper investigates the relationship between native internal mobility and immigration in Italy, in order to gain a better understanding of the impact of immigration on local labour markets and to gauge the consequences for the socio-demographic ...
Carmine Porello, Sauro Mocetti
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The fluency-based semantic network of LLMs differs from humans

Computers in Human Behavior: Artificial Humans
Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity.
Ye Wang, Yaling Deng, Ge Wang, Tong Li, Hongjiang Xiao, Yuan Zhang   +5 more
doaj   +1 more source

Embracing large language model (LLM) technologies in hydrology research

Environmental Research: Water
The growing complexity of hydrological systems necessitates innovative approaches to data management, knowledge management, and model development. Large language models (LLMs) have great potential to accelerate hydrological research by unifying and ...
Zewei Ma, Bin Peng, Zhenrui Yue, Huimin Zeng, Ming Pan, Xiaocui Wu, Jie Yang, Liting Mai, Kaiyu Guan   +8 more
doaj   +1 more source

Low participation and regional inequalities : interrelated features of the Hungarian labour market. Case study [PDF]

"Low participation and spatial polarisation are two interrelated features of the Hungarian labour market. The paper investigates these features taking stock of stylised facts and results of the relevant empirical literature.
Fazekas, Karoly
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