蚂蚁集团发布两款创新 MoE 大模型，训练成本大幅降低
近日，蚂蚁集团的 Ling 团队在预印版 Arxiv 平台上发布了题为《每一个 FLOP 都至关重要:无需高级 GPU 即可扩展3000亿参数混合专家 LING 大模型》的技术论文，介绍了他们研发的两款新型大语言模型:百灵轻量版（Ling-Lite）和百灵增强版(Ling-Plus)。这两款模型在设计上采用了多项创新，能够在低性能硬件上高效训练，显著降低了成本。百灵轻量版的参数规模为168亿，其中激活参数为27.5亿。而增强版的基座模型则拥有高达2900亿的参数，激活参数为288亿。这两款模型的性能均达到行业领先水平，尤其
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