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.

The acquisition points to rising demand for tools that test and secure LLMs before they are deployed in enterprise workflows. OpenAI said it plans to acquire AI testing startup Promptfoo, a move aimed ...

Thousands of servers run open-source LLMs outside major AI platforms security controls, researchers say Researchers identify removed guardrails in hundreds of open-source LLM instances LLMs can be ...

In January, assumptions around AI were shaken up by DeepSeek, a small Chinese company that nobody had heard of. This week it was Switzerland’s turn to stir things up. Apertus (Latin for ‘open’) is a ...

Huawei’s Zurich Computing Systems Laboratory has released SINQ (Sinkhorn Normalization Quantization), an open-source quantization method that reduces the memory requirements of large language models ...