Nota AI Reduces Memory Usage of Upstage's Solar LLM by 72%, Demonstrating Proprietary Quantization Technology

Nota AI, an AI optimization technology company behind the Nota AI brand, announced that it has developed a next-generation ...
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 ...
Geeky Gadgets

How Unsloth Makes Fine-Tuning LLMs a Breeze to Boost AI Performance

Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...
Hackaday

Making The Smallest And Dumbest LLM With Extreme Quantization

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...
Semiconductor Engineering

The On-Device LLM Revolution

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
TechBooky

Alibaba Expands Qwen Lineup with New Mid-Sized AI Models

Alibaba’s Qwen AI team has introduced a new Qwen3.5 Medium model series, adding fresh competition to the large language model ...