Abstract: In recent years, deep learning-based methods have attracted much attention and achieved remarkable results for intelligent fault diagnosis of rotating machinery. However, in many actual ...
Post-training quantization (PTQ) has emerged as a prevailing technique for de- ploying large language models (LLMs) efficiently in terms of both memory and computation, across edge devices and server ...
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