<ul><li>Microsoft Research has introduced BitNet a4.8, a technique that improves the efficiency of 1-bit large language models (LLMs).</li><li>LLMs use a limited number of bits to represent model weights, reducing memory and computational resources needed.</li><li>BitNet a4.8 combines hybrid quantization and sparsification techniques to optimize 1-bit LLMs.</li><li>BitNet a4.8 achieves comparable performance to previous models while using less compute and memory.</li></ul>

How Microsoft’s next-gen BitNet architecture is turbocharging LLM efficiency

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