Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

PrismML, a pioneer in high-performance AI models, today announced the Ternary Bonsai model family: three state-of-the-art large language models available in 8B, 4B, and 1.7B parameter sizes, built on ...

Cloudflare has open-sourced Project Pipit, a lossless LLM compression tool that achieves up to 5.2x compression on dense ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

TurboQuant vector quantization targets KV cache bloat, aiming to cut LLM memory use by 6x while preserving benchmark accuracy ...

SynthLogic's Unweight algorithm compresses large language models by 22% while retaining 99.8% of benchmark accuracy, using a ...

A new large language model, Qehwa, has been developed by Junaid Ahmed, in a solo effort, to serve more than 60 million Pashto speakers worldwide. Inspired ...

Historically, system memory has been treated as a fairly reliable commodity. While subject to occasional price fluctuations, it remained consistently available to everyone, from casual PC builders to ...

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

PrismML's approach is based on work done by Caltech electrical engineering professor Babak Hassibi and colleagues. The ...