Results 111 to 120 of about 55,072 (308)
Large Language Models (LLMs) have rapidly become essential tools in many applications, from content generation to automated decision-making. However, as these powerful systems become more common in our daily lives, a key question arises: how can we trust
Salimian, Sina
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Advanced Intelligent Discovery, EarlyView.Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
InformationThe development of large language models (LLMs) has promoted a transformation of human–computer interaction (HCI) models and has attracted the attention of scholars to the evaluation of personality traits of LLMs.
Qianli Lin, Zhipeng Hu, Jun Ma
doaj +1 more source
Enthalten LLMs Wissen (über irgendwas)?
This article investigates whether Large Language Models (LLMs), a subset of Machine Learning (ML), can be considered to process theoretical knowledge. LLMs are ML models trained on large linguistic, textual datasets.
Pégny, Maël
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Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Epistemology in the Age of Large Language Models
KnowledgeEpistemology and technology have been working in synergy throughout history. This relationship has culminated in large language models (LLMs). LLMs are rapidly becoming integral parts of our daily lives through smartphones and personal computers, and we ...
Jennifer Mugleston +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
BIO IntegrationThis comprehensive review explores the intersection between large language models (LLMs) and cognitive science, by examining similarities and differences between LLMs and human cognitive processes.
Qian Niu +18 more
doaj +1 more source
Exploring Qualitative Research Using LLMs
, 2023 The advent of AI driven large language models (LLMs) have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats to the core values of the discipline ...
Bano, Muneera +2 more
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source