Binary normalized neural networks achieve 32x memory reduction with single-bit parameters while maintaining performance

The increasing size of large neural network models, specifically language models and foundational image models, poses deployment challenges, prompting efforts to reduce memory requirements and enhance computational efficiency. These efforts are critical t

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arxiv.org9mo ago