<ul data-eligibleForWebStory="false"><li>Efforts are being made to compress neural networks for better accessibility, as current models are too large and resource-intensive.</li><li>A new method called Ring Quantization achieves 89% accuracy with 2-bit networks, a significant improvement over previous methods.</li><li>Ring Quantization allows for 16x compression with less than a 3% drop from full precision, offering promising results for democratizing AI.</li><li>The researcher behind Ring Quantization highlights the potential of the method and aims to further test it on larger models for broader impact.</li></ul>

How I Achieved 89% Accuracy with 2-bit Neural Networks: The Ring Quantization Story

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