Results 101 to 110 of about 520,319 (211)

Large physics models: towards a collaborative approach with large language models and foundation models

European Physical Journal C: Particles and Fields
This paper explores the development and evaluation of physics-specific large-scale AI models, which we refer to as large physics models (LPMs). These models, based on foundation models such as large language models (LLMs) are tailored to address the ...
Kristian G. Barman, Sascha Caron, Emily Sullivan, Henk W. de Regt, Roberto Ruiz de Austri, Mieke Boon, Michael Färber, Stefan Fröse, Tobias Golling, Luis G. Lopez, Faegheh Hasibi, Lukas Heinrich, Andreas Ipp, Rukshak Kapoor, Gregor Kasieczka, Daniel Kostić, Michael Krämer, Jesus Marco, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger   +22 more
doaj   +1 more source

Influence of large language models on clinical decision-making in dentistry: A narrative review

SRM Journal of Research in Dental Sciences
Introduction: Clinical observations, radiological interpretation, patient-specific factors, and evidence-based standards must be integrated when making clinical decisions in dentistry.
Harsika Kesavan, A. C. Lakshmi Rathan, Jyotsna Rajan, Abinaya Subramanian   +3 more
doaj   +1 more source

Exploring Large Language Models for Chatbot Development: A Natural Language Processing Framework [PDF]

reservedThis thesis addresses the development of a chatbot using Natural Language Processing (NLP) approaches. The research begins with the definition of requirements, goals, and target audience.
PETRINA, STEFANO
core  

Unifying Large Language Models and Knowledge Graphs: A Roadmap [PDF]

Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to their emergent ability and generalizability. However, LLMs are black-box models, which often fall
Wang, Yufei, Chen, Chen, Wang, J, Wang, Y, Luo, L, Luo, Linhao, Pan, Shirui, Wu, X, Chen, C, Wang, Jiapu, Wu, Xindong, Pan, S   +11 more
core   +2 more sources

Multiple Large AI Models’ Consensus for Object Detection—A Survey

Applied Sciences
The rapid development of large artificial intelligence (AI) models—large language models (LLMs), multimodel large language models (MLLMs) and vision–language models (VLMs)—has enabled instruction-driven visual understanding, where a single foundation ...
Marcin Iwanowski, Marcin Gahbler
doaj   +1 more source

TRAINING AND EVALUATING THE USE OF LARGE LANGUAGE MODELS (LLMS) IN THE DOMAIN OF CANADIAN NUCLEAR INDUSTRY [PDF]

This thesis addresses the challenges of accuracy, reliability, data privacy, and resource constraints in applying Large Language Models (LLMs) to the Canadian nuclear industry.
Anwar, Muhammad Saleh
core  

Literary Language Mashup: Curating Fictions with Large Language Models

Mathematics
The artificial generation of text by computers has been a field of study in computer science since the beginning of the twentieth century, from Markov chains to Turing tests. This has evolved into automatic summarization and marketing chatbots.
Gerardo Aleman Manzanarez, Raul Monroy, Jorge Garcia Flores, Hiram Calvo   +3 more
doaj   +1 more source

Linearizing Large Language Models

CoRR
Linear transformers have emerged as a subquadratic-time alternative to softmax attention and have garnered significant interest due to their fixed-size recurrent state that lowers inference cost. However, their original formulation suffers from poor scaling and underperforms compute-matched transformers. Recent linear models such as RWKV and Mamba have
Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar   +6 more
openaire   +2 more sources

Causality for Large Language Models

CoRR
Recent breakthroughs in artificial intelligence have driven a paradigm shift, where large language models (LLMs) with billions or trillions of parameters are trained on vast datasets, achieving unprecedented success across a series of language tasks.
Anpeng Wu, Kun Kuang 0001, Minqin Zhu, Yingrong Wang, Yujia Zheng 0001, Kairong Han, Baohong Li, Guangyi Chen 0002, Fei Wu 0001, Kun Zhang 0001   +9 more
openaire   +2 more sources

Large Language Models, human language and acquisition: a comparison. [PDF]

openLa tesi ha l’obiettivo di illustrare un generale confronto fra l’apprendimento linguistico dei Large Language Models e l’apprendimento umano. Il primo capitolo si sofferma sui fondamenti teorici principali riguardanti i grandi modelli di linguaggio ...
FORCATO, ALESSIA
core