Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Most frontend projects follow a predictable path for asset management. You download an SVG bundle, drop it into a local ...

The new tool is first rolling out for the Reels tab, and users will see an icon for it in the upper right corner when ...

Kubernetes has emerged as a prominent open-source platform for managing cloud applications, including stateful databases. These monolithic applications rely on vertical scaling, adjusting CPU cores ...

Abstract: Traditional XSS (Cross Site Scripting) scanners typically rely on attack vectors based on expert knowledge and manual testing, which not only incur high costs and long processing times but ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

NEW YORK, Dec. 3, 2025 /PRNewswire/ -- While the entertainment industry obsesses over follower counts, a radical new platform is proving that raw talent still wins. TESTBOARD—the vision-first ...

THIS ALGORITHM IS DESIGNED FOR USE WITH THE DATA FROM THE 6 ITEMS OF THE VisQoL DIMENSION IN THE AQoL-7D INSTRUMENT The VisQoL is a six item dimension (items 21, 22 ...

Abstract: One of the powerful techniques in data modeling is accounting for features that are available at the training stage, but are not available when the trained model is used to classify or ...

Largest US Landlord to Pay $7 Million to Settle Rent‑setting Algorithm Lawsuit Greystar, the nation’s largest landlord, has reached a $7 million settlement with nine states that sued the property ...