Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...
If the quantum concept is still difficult to understand and divides passionate opinions between skeptics and futurists, imagine how much the term 'quantum computing' can confuse and even scare ...
Recent research on the 1-bit Large Language Models (LLMs), such as BitNet b1.58, presents a promising direction for reducing the inference cost of LLMs while maintaining their performance. In this ...
WTF?! Just in time for Christmas comes the lowest-spec PC we have ever seen. Step aside, Commodore Vic-20. This DIY kit is a single-board computer that runs on a 1-bit CPU. To be clear, that is not a ...
Abstract: This brief presents a 32x32 pseudo-ReRAM-based analog computing-in-memory (CIM) macro in 28nm CMOS. A 4b self-error-correcting word-line (WL) driver reduces the analog compute inaccuracy ...
One effect of the global pandemic was that there were relatively few events in our sphere for a couple of years. This and that other by-product of COVID-19, the chip shortage, meant that over the past ...
Abstract: The energy efficiency of deep neural network (DNN) inference can be improved with custom accelerators. DNN inference accelerators often employ specialized hardware techniques to improve ...
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