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 ...

编者按：本文来自微信公众号“将门创投”（ID:thejiangmen），作者：让创新获得认可，36氪经授权发布。 From: Technology Review；编译: Shelly 在不久的将来，大规模的神经网络就能以更快的速度和更少的耗能在智能手机上进行训练了——“8位比特是一个字节，因此4位 ...

【新智元导读】近日，BitNet系列的原班人马推出了新一代架构：BitNet a4.8，为1 bit大模型启用了4位激活值，支持3 bit KV cache，效率再突破。 量化到1 bit的LLM还能再突破？ 这次，他们对激活值下手了！ 近日，BitNet系列的原班人马推出了新一代架构：BitNet a4.8，为1 bit ...

OPENEDGES Technology, Inc., the world's leading memory system and AI platform IP provider, today announced the first commercial release of mixed-precision (4-/8-bit) computation NPU IP, ENLIGHT™.

Does it have an "Overflow" output? I think that would be the same as "Carry Out," though it has been a few years since my cpu design class.

While the simplistic answer to the headline is four bits, it’s actually quite a loaded question. A four-bit increase in the scope’s resolution would produce a theoretical improvement of 16 times in ...

Deep learning is an inefficient energy hog. It requires massive amounts of data and abundant computational resources, which explodes its electricity consumption. In the last few years, the overall ...