Results 1 to 10 of about 22,074,380 (291)

Large Language model (LLM) in temporomandibular disorder education: a comparative study [PDF]

BMC Oral Health
Background With the increasing reliance on artificial intelligence (AI) in healthcare information delivery, it is essential to evaluate the accuracy and reliability of AI-generated responses.
Özge Özdal Zincir, Şirin Hatipoğlu, Esra Çifçi Özkan   +2 more
doaj   +2 more sources

Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems [PDF]

Diagnostics
Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini to enhance diagnostic processes in the medical field. This research focuses on their ability to comprehend and apply complex medical classification systems for breast ...
Syed Ali Haider, Sophia M. Pressman, Sahar Borna, Cesar A. Gomez-Cabello, Ajai Sehgal, Bradley C. Leibovich, Antonio Jorge Forte   +6 more
doaj   +2 more sources

A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly

High-Confidence Computing
Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized natural language understanding and generation. They possess deep language comprehension, human-like text generation capabilities, contextual awareness, and robust problem-solving
Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, Yue Zhang   +5 more
doaj   +3 more sources

A systematic review of large language model (LLM) evaluations in clinical medicine [PDF]

BMC Medical Informatics and Decision Making
Background Large Language Models (LLMs), advanced AI tools based on transformer architectures, demonstrate significant potential in clinical medicine by enhancing decision support, diagnostics, and medical education.
Sina Shool, Sara Adimi, Reza Saboori Amleshi, Ehsan Bitaraf, Reza Golpira, Mahmood Tara   +5 more
doaj   +2 more sources

Attention is All Large Language Model Need [PDF]

ITM Web of Conferences
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models.
Liu Yuxin
doaj   +2 more sources

AI-native 6G Network based on Large Language Model (LLM) [PDF]

ITM Web of Conferences
The sixth-generation (6G) mobile communication is evolving towards the AI-native paradigm of integrated communication, sensing, computing and intelligence.
Zhai Yujie
doaj   +1 more source

Traffic Flow Prediction Based on Large Language Models and Future Development Directions [PDF]

ITM Web of Conferences
As the application of deep learning in intelligent transportation systems becomes increasingly widespread, the accuracy and reliability of traffic flow prediction have become crucial.
Zhang Muhua, Zhao Wenzheng
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

Modeling Dynamic Risk Perception Using Large Language Model (LLM) Agents

AI
Background: Understanding how accident risk escalates during unfolding industrial events is essential for developing intelligent safety systems. This study proposes a large language model (LLM)-based framework that simulates human-like risk reasoning ...
He Wen, Mojtaba Parsaee, Zaman Sajid
doaj   +1 more source

Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering

Big Data Mining and Analytics
Previous works employ the Large Language Model (LLM) like GPT-3 for knowledge-based Visual Question Answering (VQA). We argue that the inferential capacity of LLM can be enhanced through knowledge injection. Although methods that utilize knowledge graphs
Zhongjian Hu, Peng Yang, Fengyuan Liu, Yuan Meng, Xingyu Liu   +4 more
doaj   +1 more source