<ul><li>Microsoft researchers have developed BitNet b1.58 2B4T, the largest-scale 1-bit AI model.</li><li>The model uses quantized weights of -1, 0, and 1 to reduce memory and computing requirements.</li><li>Trained on a massive dataset of 4 trillion tokens, the model outperforms traditional models of similar sizes.</li><li>BitNet b1.58 2B4T is faster and uses less memory compared to similar models, but it requires Microsoft's custom framework and has limited hardware compatibility.</li></ul>

Microsoft researchers say they’ve developed a hyper-efficient AI model that can run on CPUs

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