Latest Articles for Quantization

Learn how ShiftQuant and L1 normalization improve neural network efficiency.

Keeping AI conversations safe on the go with Llama Guard.

Model compression techniques enable heavy models to run smoothly on smaller devices.

A new method to optimize large language models efficiently.

A study showcasing hybrid architecture for improving SNN performance and energy efficiency.

Research shows how to compress diffusion models while maintaining quality.

Learn about Anda, a new method for managing activation data in LLMs.

Learn how reinforcement learning enhances machine communication and decision-making.

A look into hadrons and their interactions using lattice quantum chromodynamics.

QABBA streamlines time series data analysis for clearer insights.

Discover how AI models can be fast and easy to understand.

Learn how lossless compression is reshaping data storage and processing.

Smarter AI for smaller devices through model quantization techniques.

Discover how B3FA attacks compromise deep neural networks with minimal knowledge.

Research finds ways to reduce AI model size while maintaining accuracy.

Panacea enhances DNN performance while saving energy and maintaining accuracy.

Learn how TTAQ improves AI model efficiency and adaptability.

Discover how finetuning language models improves financial data analysis and privacy.

Discover how ProFe improves communication in decentralized federated learning.

DQA offers a smart solution for efficient deep quantization in resource-limited devices.

New methods make language models faster and more efficient for real-world tasks.

ResQ optimizes large language models, enhancing performance and reducing costs.

Researchers aim to optimize language models to enhance efficiency and reduce costs.

Researchers refine large language models for better efficiency and task focus.

Low-bit language models make AI smarter and more efficient for everyday devices.