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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
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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 ...
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 ...

How Artificial Intelligence Interacts with Human Language by Integrating Large Language Models

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...