Results 1 to 10 of about 63,129 (302)

Temporal evolution of large language models (LLMs) in oncology [PDF]

Journal of Translational Medicine
Background Large language models (LLMs) are increasingly being applied in healthcare; however, their performance in specialized fields, such as oncology, is subject to temporal factors, including knowledge decay and concept drift.
Zilin Qiu, Aimin Jiang, Chang Qi, Wenyi Gan, Lingxuan Zhu, Weiming Mou, Dongqiang Zeng, Mingjia Xiao, Guangdi Chu, Shengkun Peng, Hank Z. H. Wong, Lin Zhang, Hengguo Zhang, Xinpei Deng, Quan Cheng, Bufu Tang, Yaxuan Wang, Jian Zhang, Anqi Lin, Peng Luo   +19 more
doaj   +2 more sources

The Role of Large Language Models in Enhancing Cybersecurity Measures: Empirical Evidence from Regional Banking Institutions [PDF]

Sistemasi: Jurnal Sistem Informasi
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly influenced the cybersecurity landscape, particularly in the banking sector, where threats are increasingly sophisticated.
Hewa Majeed Zangana, Harman Salih Mohammed, Mamo Muhamad Husain   +2 more
doaj   +3 more sources

Large language models (LLMs) as agents for augmented democracy. [PDF]

Philos Trans A Math Phys Eng Sci
We explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens’ preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil’s 2022 presidential election.
Gudiño JF, Grandi U, Hidalgo C.
europepmc   +7 more sources

AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development [PDF]

Journal of Advanced Research
Background: Due to the recent revolution of artificial intelligence (AI), AI-enabled large language models (LLMs) have flourished and started to be applied in various sectors of science and medicine.
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee, Arpita Das, Sang-Soo Lee   +5 more
doaj   +2 more sources

The promises of large language models for protein design and modeling [PDF]

Frontiers in Bioinformatics, 2023
The recent breakthroughs of Large Language Models (LLMs) in the context of natural language processing have opened the way to significant advances in protein research. Indeed, the relationships between human natural language and the “language of proteins”
Giorgio Valentini, Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Jessica Gliozzo, Marco Mesiti, Mauricio Soto-Gomez, Alberto Cabri, Justin Reese, Elena Casiraghi, Elena Casiraghi, Elena Casiraghi, Peter N. Robinson   +12 more
doaj   +4 more sources

Harnessing large language models (LLMs) for candidate gene prioritization and selection [PDF]

Journal of Translational Medicine, 2023
Background Feature selection is a critical step for translating advances afforded by systems-scale molecular profiling into actionable clinical insights.
Mohammed Toufiq, Darawan Rinchai, Eleonore Bettacchioli, Basirudeen Syed Ahamed Kabeer, Taushif Khan, Bishesh Subba, Olivia White, Marina Yurieva, Joshy George, Noemie Jourde-Chiche, Laurent Chiche, Karolina Palucka, Damien Chaussabel   +12 more
doaj   +2 more sources

Introduction to Large Language Models (LLMs) for dementia care and research [PDF]

Frontiers in Dementia
IntroductionDementia is a progressive neurodegenerative disorder that affects cognitive abilities including memory, reasoning, and communication skills, leading to gradual decline in daily activities and social engagement.
Matthias S. Treder, Sojin Lee, Kamen A. Tsvetanov, Kamen A. Tsvetanov   +3 more
doaj   +2 more sources

A Survey on Hardware Accelerators for Large Language Models

Applied Sciences
Large language models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-like text. As the demand for more sophisticated LLMs continues to grow, there
Christoforos Kachris
doaj   +3 more sources

Large Language Model (LLM) Bias Index—LLMBI

, 2023
The Large Language Model Bias Index (LLMBI) is a pioneering approach designed to quantify and address biases inherent in large language models (LLMs), such as GPT-4. We recognise the increasing prevalence and impact of LLMs across diverse sectors. This research introduces a novel metric, LLMBI, to systematically measure and mitigate biases potentially ...
Oketunji, AF, Anas, M, Saina, D
openaire   +4 more sources

Ink:Non-repudiation for Large Language Models (LLMs) in Healthcare [PDF]

We are increasingly likely to see Large Language Models (LLMs) used in a healthcare context. To address potential issues around liability when this occurs, we introduce Ink, an LLM-backed chatbot that can be used to generate securely signed, non ...
Chapman, Martin, Fairweather, Elliot, Hampson, Christopher   +2 more
core   +3 more sources