Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.

Multiverse Computing S.L. said today it has raised $215 million in funding to accelerate the deployment of its quantum computing-inspired artificial intelligence model compression technology, which ...

Small changes in the large language models (LLMs) at the heart of AI applications can result in substantial energy savings, according to a report released by the United Nations Educational, Scientific ...

Intel has disclosed a maximum severity vulnerability in some versions of its Intel Neural Compressor software for AI model compression. The bug, designated as CVE-2024-22476, provides an ...

I see awful diminishing returns here. (Lossless) compression of today isn't really that much better than products from the 80s and early 90s - stacker (wasn't it?), pkzip, tar, gz. You get maybe a few ...