Results 121 to 130 of about 176,171 (277)

Large Language Models: А Socio-Philosophical Essay

Галактика медиа: журнал медиа исследований
Neural networks have filled the information space. On the one hand, this indicates the scientific and technological movement of contemporary society (perhaps, AGI is already waiting for us outside the door). On the other hand, in everyday discourse there
Regina V. Penner
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

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, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Emoji driven crypto assets market reactions

Management şi Marketing
In the burgeoning realm of cryptocurrency, social media platforms like Twitter have become pivotal in influencing market trends and investor sentiments.
Zuo Xiaorui, Chen Yao-Tsung, Härdle Wolfgang Karl   +2 more
doaj   +1 more source

Un romanzo ‘a due cervelli’: intelligenza artificiale e ironia in Non siamo mai stati sulla Terra di Rocco Tanica

Dive-In
This paper analyses the latest novel by Rocco Tanica, Non siamo mai stati sulla Terra, published by il Saggiatore in 2022, the first Italian novel to be written in collaboration with AI.
Maira Martini
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Advanced methods for knowledge injection in large language models

Научно-технический вестник информационных технологий, механики и оптики
Transformer-based language models have revolutionized Natural Language Processing tasks, with advancements in language modeling techniques. Current transformer architectures utilize attention mechanisms to model text dependencies effectively.
N. I. Kulin, S. B. Muravyov
doaj   +1 more source

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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Evaluating the Impact of Prompt Formats on Llama2 and Phi3 Using Turkish Language Instruction Dataset

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Language models can be trained and customized by anyone using effective fine-tuning methods, making them versatile tools across various domains. While metrics like loss and accuracy are commonly used to assess the performance of language models, the ...
Emir Öztürk
doaj   +1 more source

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

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source