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Wenbin Jia

ورقة واحدة في مجموعة PaperMetrix

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  1. A 28nm 3.14 TFLOP/W BF16 LLM Fine-Tuning Processor with Asymmetric Quantization Computing for AI PC

    2025

    The powerful capabilities of large language models (LLMs) enable them to function as personal digital assistants. To ensure user privacy, personalized fine-tuning can be conducted locally on memoryconstrained AI PCs using Parameter-Efficient Fine-Tuning (PEFT) algorithms, …