Morning Overview on MSN

A quantum trick is shrinking bloated AI models fast

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...
GIGAZINE

Huawei announces 'SINQ,' an open-source quantization method that reduces memory usage of AI models by 60-70% and enables them to run on inexpensive, low-performance hardware

Huawei, a major Chinese technology company, has announced Sinkhorn-Normalized Quantization (SINQ), a quantization technique that enables large-scale language models (LLMs) to run on consumer-grade ...
VentureBeat

Here are 3 critical LLM compression strategies to supercharge AI performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In today’s fast-paced digital landscape, businesses relying on AI face ...
Forbes

Scaling Small Language Models (SLMs) For Edge Devices: A New Frontier In AI

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.
The Japan News

Rakuten Develops New Large Language Model; ‘Rakuten AI 3.0’ Is One of Japan’s Biggest Llms to Date

Rakuten Group Inc. has developed its own Japanese large language model (LLM), a foundational model for generative artificial ...