Results 121 to 130 of about 141,350 (263)

NMT-GPT

Norsk medietidsskrift, 2023
Nina Kvalheim, Erik Knudsen
openaire   +2 more sources

Optimizing Natural Language Processing: A Comparative Analysis of GPT-3.5, GPT-4, and GPT-4o

Data and Metadata
In the last decade, the advancement of artificial intelligence has transformed multiple sectors, with natural language processing standing out as one of the most dynamic and promising areas. This study focused on comparing the GPT-3.5, GPT-4 and GPT-4o language models, evaluating their efficiency and performance in Natural Language Processing tasks ...
Manuel Ayala-Chauvin, Fátima Avilés-Castillo   +1 more
openaire   +1 more source

Single layer tiny Co4 outpaces GPT-2 and GPT-BERT

Proceedings of the First BabyLM Workshop
We show that a tiny Co$^4$ machine(Adeel,2025) with a single layer, two heads, and 8M parameters, operating at an approximate cost of $O(N)$ (where $N$ is the number of input tokens), outpaces the BabyLM Challenge baselines GPT-2 (124M, 12 layers, $O(N^2))$ and GPT-BERT (30M, 12 layers, $O(N^2))$ in just two epochs, while both are trained for ten.
Zain, Noor Ul, Raza, Mohsin, Adeel, Ahsan   +2 more
openaire   +2 more sources

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Performance of ChatGPT and Bard on the medical licensing examinations varies across different cultures: a comparison study

BMC Medical Education
Background This study aimed to evaluate the performance of GPT-3.5, GPT-4, GPT-4o and Google Bard on the United States Medical Licensing Examination (USMLE), the Professional and Linguistic Assessments Board (PLAB), the Hong Kong Medical Licensing ...
Yikai Chen, Xiujie Huang, Fangjie Yang, Haiming Lin, Haoyu Lin, Zhuoqun Zheng, Qifeng Liang, Jinhai Zhang, Xinxin Li   +8 more
doaj   +1 more source

Performance of GPT-4o combined with retrieval-augmented generation on nutritionist licensing exam questions

Endocrine Journal
GPT-4o, a general-purpose large language model, has a Retrieval-Augmented Variant (GPT-4o-RAG) that can assist in dietary counseling. However, research on its application in this field remains lacking.
Yu Ishikawa, Akitaka Higashi, Nozomu Arai, Daisuke Ozo, Wataru Hasegawa, Tetsuya Imamura, Zenbei Matsumoto, Hidetaka Nambo, Shigehiro Karashima   +8 more
doaj   +1 more source

Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4

Journal of Medical Internet Research
Background Artificial intelligence, particularly chatbot systems, is becoming an instrumental tool in health care, aiding clinical decision-making and patient engagement. Objective This study aims to analyze the performance of ChatGPT ...
Adi Lahat, Kassem Sharif, Narmin Zoabi, Yonatan Shneor Patt, Yousra Sharif, Lior Fisher, Uria Shani, Mohamad Arow, Roni Levin, Eyal Klang   +9 more
openaire   +3 more sources

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Generative pretrained transformer 4: an innovative approach to facilitate value-based healthcare

Intelligent Medicine
Objective: Appropriate medical imaging is important for value-based care. We aim to evaluate the performance of generative pretrained transformer 4 (GPT-4), an innovative natural language processing model, providing appropriate medical imaging ...
Han Lyu, Zhixiang Wang, Jia Li, Jing Sun, Xinghao Wang, Pengling Ren, Linkun Cai, Zhenchang Wang, Max Wintermark   +8 more
doaj   +1 more source