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English(EN) China’s Ant Group just proved that bigger isn't always better in enterprise AI. Its new 124-billion-parameter Ling-3.0-flash model has outperformed its own 1-tr

蚂蚁集团较小的Ling-3.0-flash模型超越了其前代更大模型

蚂蚁集团开发了一个新的AI模型Ling-3.0-flash,拥有1240亿参数,在大多数基准测试中超越了其先前的1万亿参数模型。这一进展表明,更小、更高效的模型可以实现卓越的性能,从而可能降低金融等领域关键应用的计算成本。 AI

影响 证明了更小、更高效的AI模型可以实现卓越的性能,可能降低关键应用的计算门槛。

排序理由 该集群描述了一家重要科技公司发布的新模型,详细说明了其相对于先前版本的性能改进。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — fosstodon.org 阅读 →

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蚂蚁集团较小的Ling-3.0-flash模型超越了其前代更大模型

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该集群描述了一家重要科技公司发布的新模型,详细说明了其相对于先前版本的性能改进。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    中国的蚂蚁集团刚刚证明,在企业人工智能领域,大并非总是更好。其新的1240亿参数Ling-3.0-flash模型已超越其自家的1万亿参数模型

    China’s Ant Group just proved that bigger isn't always better in enterprise AI. Its new 124-billion-parameter Ling-3.0-flash model has outperformed its own 1-trillion-parameter predecessor on 11 out of 12 benchmarks. By shrinking the model size while boosting performance, they've…