Abstract: 1 Today, advances in scientific and embedded computing and the incredible proliferation of machine learning algorithms take advantage of specialized hardware accelerators to provide ...
Abstract: The Transformer architecture, despite its scaling law, faces expensive computational cost challenges as the number of parameters increases. Quantization methods like Ternary-BERT and BitNet ...
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