Results 21 to 30 of about 4,144,297 (347)

DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model [PDF]

IEEE Robotics and Automation Letters, 2023
Multimodallarge language models (MLLMs) have emerged as a prominent area of interest within the research community, given their proficiency in handling and reasoning with non-textual data, including images and videos.
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, K. K. Wong, Zhenguo Li, Hengshuang Zhao   +7 more
semanticscholar   +1 more source

Large Language Models as Optimizers

CoRR, 2023
ICLR 2024; 42 pages, 26 figures, 15 tables.
Chengrun Yang, Xuezhi Wang 0002, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen   +6 more
openaire   +3 more sources

Large Language Models are Not Models of Natural Language: They are Corpus Models

IEEE Access, 2022
Natural Language Processing (NLP) has become one of the leading application areas in the current Artificial Intelligence boom. Transfer learning has enabled large deep learning neural networks trained on the language modeling task to vastly improve performance in almost all downstream language tasks.
openaire   +5 more sources

A Watermark for Large Language Models

CoRR, 2023
Potential harms of large language models can be mitigated by watermarking model output, i.e., embedding signals into generated text that are invisible to humans but algorithmically detectable from a short span of tokens. We propose a watermarking framework for proprietary language models.
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein   +5 more
openaire   +3 more sources

Blockchain Large Language Models

IACR Cryptol. ePrint Arch., 2023
This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions. The proposed tool, BlockGPT, generates tracing representations of blockchain activity and trains from scratch a large language model to act as a real-time Intrusion Detection System. Unlike traditional methods, BlockGPT is designed to offer an unrestricted
Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais   +4 more
openaire   +3 more sources

How large-scale foundation models benefit precision livestock farming: A survey

Artificial Intelligence in Agriculture
Precision Livestock Farming integrates advanced technologies such as the internet of things (IoT), artificial intelligence (AI), big data and machinery automation into traditional animal husbandry to enable data-driven, automated, and precision farming ...
Mengxiao Tian, Hao Guo, Chengjiang Long, Jun Zhu, Wenwen Zhao, Hongxi Li, Alexey Ruchay, Andrea Pezzuolo, Bin Li   +8 more
doaj   +1 more source

LLMPC: Large Language Model Predictive Control

Computers
Recent advancements in planning prompting techniques for Large Language Models have improved their reasoning, planning, and action abilities. This paper develops a planning framework for Large Language Models using model predictive control that enables ...
Gabriel Maher
doaj   +1 more source

Adaptive Language Model Training for Molecular Design

, 2023
The vast size of chemical space necessitates computational approaches to automate and accelerate the design of molecular sequences to guide experimental efforts for drug discovery.
Debsindhu , Bhowmik, Jens , Glaser, Zachary , Fox, Belinda S , Akpa, Andrew , Blanchard, John , Gounley, Stephan , Irle   +6 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

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   +1 more source