Results 51 to 60 of about 124,133 (290)

Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology

Frontiers in Artificial Intelligence
IntroductionGenerating physician letters is a time-consuming task in daily clinical practice.MethodsThis study investigates local fine-tuning of large language models (LLMs), specifically LLaMA models, for physician letter generation in a privacy ...
Yihao Hou, Yihao Hou, Christoph Bert, Christoph Bert, Christoph Bert, Ahmed Gomaa, Ahmed Gomaa, Ahmed Gomaa, Godehard Lahmer, Godehard Lahmer, Godehard Lahmer, Daniel Höfler, Daniel Höfler, Daniel Höfler, Thomas Weissmann, Thomas Weissmann, Thomas Weissmann, Raphaela Voigt, Raphaela Voigt, Raphaela Voigt, Philipp Schubert, Philipp Schubert, Philipp Schubert, Charlotte Schmitter, Charlotte Schmitter, Charlotte Schmitter, Alina Depardon, Alina Depardon, Alina Depardon, Sabine Semrau, Sabine Semrau, Sabine Semrau, Andreas Maier, Rainer Fietkau, Rainer Fietkau, Rainer Fietkau, Yixing Huang, Yixing Huang, Florian Putz, Florian Putz, Florian Putz   +40 more
doaj   +1 more source

Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Proceedings of the 6th Clinical Natural Language Processing Workshop
Adapting pretrained language models to novel domains, such as clinical applications, traditionally involves retraining their entire set of parameters. Parameter-Efficient Fine-Tuning (PEFT) techniques for fine-tuning language models significantly reduce computational requirements by selectively fine-tuning small subsets of parameters. In this study, we
Aryo Gema, Pasquale Minervini, Luke Daines, Tom Hope, Beatrice Alex   +4 more
openaire   +2 more sources

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Emerging insights into CC and CXC chemokines and their receptors in Mycobacterium tuberculosis infection

FEBS Open Bio, EarlyView.
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley   +1 more source

Explore the Principles of Prompt Tuning and the Progress of Research [PDF]

ITM Web of Conferences
Prompt Tuning is a lightweight fine-tuning method that demonstrates efficient task adaptation and parameter efficiency for pre-trained language models (PLMs). Prompt Tuning highlights an important contribution to the advancement of NLP technology.
Zheng Tongxin
doaj   +1 more source

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

Large language models for PHM: a review of optimization techniques and applications

Autonomous Intelligent Systems
The rapid advancement of Large Language Models (LLMs) has created unprecedented opportunities for industrial automation, process optimization, and decision support systems.
Tingyi Yu, Junya Tang, Qingyun Yu, Li Li, Ying Liu, Raul Poler   +5 more
doaj   +1 more source

Improving Tire Pattern Recognition Using Parameter-Efficient Fine-Tuning Techniques

IEEE Access
Tire-tread classification plays a key role in forensic investigation and public safety. This work introduces a robust, efficient recognition system that integrates Discrete Wavelet Transform (DWT) with Weighted Local Gray-Level on Robust Local Binary ...
Parkpoom Chaisiriprasert, Khachonkit Chuiad   +1 more
doaj   +1 more source

Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
Hasin Us Sami, Swapneel Sen, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Basak Guler   +4 more
openaire   +2 more sources

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source