Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

VectorCertain’s 55-patent ecosystem is organized in a three-layer hub-and-spoke architecture where authority flows from governance hubs down through application spokes. This structure ensures that no ...

Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...

Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.

This is a feature request to add a new 8-bit quantization method called Product Quantization with Residuals (PQ-R) to the bitsandbytes library. What is PQ-R? PQ-R is a hybrid quantization algorithm ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced new performance and cost-efficiency breakthroughs with two significant enhancements to its vector search. Users ...

A research team led by Associate Prof. Wang Anting from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) proposed a method for multidimensional ...

Both #20 (comment) and me tried to replace quanto qint8 with alternate quantization methods like nunchaku & bnb, by quantizing and then loading pre-quantized transformer+te 2 models into the pipeline, ...

Although mnemonic devices far predate the written word, both Cicero and Quintilian name Simonides of Ceos (c. 556-468 BCE) as the first teacher of an art of memory. Simonides is perhaps best known for ...