Large Language Models (LLMs) and Generative AI are driving up memory requirements, presenting a significant challenge. Modern LLMs can have billions of parameters, demanding many gigabytes of memory.
To address this issue, AI architects have devised clever solutions that dramatically reduce memory needs. Evolving techniques like lossless weight compression, structured sparsity, and new numer...
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