Results 81 to 90 of about 22,635,901 (285)

Large Language Model Unlearning

Advances in Neural Information Processing Systems 37
We study how to perform unlearning, i.e. forgetting undesirable misbehaviors, on large language models (LLMs). We show at least three scenarios of aligning LLMs with human preferences can benefit from unlearning: (1) removing harmful responses, (2) erasing copyright-protected content as requested, and (3) reducing hallucinations.
Yuanshun Yao, Xiaojun Xu, Yang Liu
openaire   +4 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Human languaging and large language models

AI & SOCIETY
Abstract This paper explores the interplay between human languaging and AI-powered language models from the view of the distributed language perspective (DLP). According to this perspective, human linguistic activity can be described as ongoing, heterogenous activity, thus making proponents of DLP prefer the term ‘languaging’ to that ...
openaire   +3 more sources

Modeling meets Large Language Models

Modeling business processes is often challenging due to its complexity and potential for errors. One key issue arises when process experts and modelers are different individuals, which can lead to communication gaps and result in low-quality business process models.
Martin Forell, Selina Schüler
openaire   +3 more sources

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

FEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell, Cassy Ross, Panagiota S. Filippou, Bruno Silvester Lopes, Dominic Gilchrist, Paul Dean, Kamar Ameen‐Ali, Tora K. Smulders‐Srinivasan, Ahmad A. Khundakar   +8 more
wiley   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

Large Language Models for Manufacturing

CoRR
The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive exploration of the integration of LLMs into the manufacturing domain, focusing on their potential to automate and ...
Yiwei Li 0002, Huaqin Zhao, Hanqi Jiang, Yi Pan 0001, Zhengliang Liu, Zihao Wu 0001, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu 0001, Linbing Wang, Wen-Zhan Song 0001, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu 0001   +23 more
openaire   +3 more sources

Large language models in molecular genetics: retrieval augmented generation to help genetic counselling [PDF]

openQuesta tesi propone uno strumento basato su un large language model per aiutare i biologi di R&I Genetics nella fase di redazione dei referti. Cercando articoli rilevanti e sfruttando la capacità di Llama 2, questo progetto mira a supportare i ...
GREGORI, ANDREA
core  

Exploring the influence of lactoferrin on wound healing and related signaling pathways: a systematic review

FEBS Open Bio, EarlyView.
Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo, Kátia Cristiane Hall, Matheus dos Santos Fernandez, Geovanna Peter Corrêa, Rafael Guerra Lund   +4 more
wiley   +1 more source