ZipNN compresses AI models efficiently, keeping essential details intact.
Moshik Hershcovitch, Andrew Wood, Leshem Choshen
― 5 min read
Cutting edge science explained simply
ZipNN compresses AI models efficiently, keeping essential details intact.
Moshik Hershcovitch, Andrew Wood, Leshem Choshen
― 5 min read
Smaller LLMs offer help but have significant quality issues in code generation.
Eric L. Melin, Adam J. Torek, Nasir U. Eisty
― 5 min read
A new method speeds up AI processing without losing accuracy.
Jintao Zhang, Haofeng Huang, Pengle Zhang
― 5 min read
Learn how ShiftQuant and L1 normalization improve neural network efficiency.
Wenjin Guo, Donglai Liu, Weiying Xie
― 4 min read
Keeping AI conversations safe on the go with Llama Guard.
Igor Fedorov, Kate Plawiak, Lemeng Wu
― 6 min read
Model compression techniques enable heavy models to run smoothly on smaller devices.
Jie Shao, Hanxiao Zhang, Jianxin Wu
― 6 min read
A new method to optimize large language models efficiently.
Changhai Zhou, Shiyang Zhang, Yuhua Zhou
― 7 min read
A study showcasing hybrid architecture for improving SNN performance and energy efficiency.
Ilkin Aliyev, Jesus Lopez, Tosiron Adegbija
― 5 min read
Research shows how to compress diffusion models while maintaining quality.
Samarth N Ramesh, Zhixue Zhao
― 6 min read
Learn about Anda, a new method for managing activation data in LLMs.
Chao Fang, Man Shi, Robin Geens
― 7 min read
Learn how reinforcement learning enhances machine communication and decision-making.
Evelyn Hubbard, Liam Cregg, Serdar Yüksel
― 6 min read
A look into hadrons and their interactions using lattice quantum chromodynamics.
Sebastian M. Dawid, Andrew W. Jackura, Adam P. Szczepaniak
― 4 min read
QABBA streamlines time series data analysis for clearer insights.
Erin Carson, Xinye Chen, Cheng Kang
― 6 min read
Discover how AI models can be fast and easy to understand.
Alireza Maleki, Mahsa Lavaei, Mohsen Bagheritabar
― 8 min read
Learn how lossless compression is reshaping data storage and processing.
Boyang Zhang, Daning Cheng, Yunquan Zhang
― 7 min read
Smarter AI for smaller devices through model quantization techniques.
Ahmed Luqman, Khuzemah Qazi, Imdadullah Khan
― 6 min read
Discover how B3FA attacks compromise deep neural networks with minimal knowledge.
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh
― 7 min read
Research finds ways to reduce AI model size while maintaining accuracy.
Meyer Scetbon, James Hensman
― 5 min read
Panacea enhances DNN performance while saving energy and maintaining accuracy.
Dongyun Kam, Myeongji Yun, Sunwoo Yoo
― 6 min read
Learn how TTAQ improves AI model efficiency and adaptability.
Junrui Xiao, Zhikai Li, Lianwei Yang
― 7 min read
Discover how finetuning language models improves financial data analysis and privacy.
Dannong Wang, Daniel Kim, Bo Jin
― 6 min read
Discover how ProFe improves communication in decentralized federated learning.
Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Miguel Fernández Llamas
― 7 min read
DQA offers a smart solution for efficient deep quantization in resource-limited devices.
Wenhao Hu, Paul Henderson, José Cano
― 6 min read
New methods make language models faster and more efficient for real-world tasks.
Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum
― 6 min read
ResQ optimizes large language models, enhancing performance and reducing costs.
Utkarsh Saxena, Sayeh Sharify, Kaushik Roy
― 6 min read
Researchers aim to optimize language models to enhance efficiency and reduce costs.
Giordano d'Aloisio, Luca Traini, Federica Sarro
― 7 min read
Researchers refine large language models for better efficiency and task focus.
Jorge García-Carrasco, Alejandro Maté, Juan Trujillo
― 7 min read
Low-bit language models make AI smarter and more efficient for everyday devices.
Yeonhong Park, Jake Hyun, Hojoon Kim
― 6 min read