Seed2.0 模型卡：面向真实世界复杂性的智能前沿

摘要

我们推出Seed2.0，这一模型系列在解决复杂真实世界任务方面迈出了有意义的一步。我们的方法始于识别用户的真实需求，并基于这些需求及现实复杂场景，选取并抽象出基准，从而构建一套可靠且具有前瞻性的评估体系。在评估体系的引导下，Seed2.0针对长尾知识与复杂指令跟随这两大持续挑战，显著提升了模型在精细、长期任务中的可靠性。此外，Seed2.0提供了世界领先的推理智能、视觉理解与搜索能力，满足广大用户群体最普遍的需求。通过本模型卡中记录的大量真实应用案例，我们展示了Seed2.0已初步展现出处理复杂现实任务的能力，为数亿用户带来了更大价值。

English

We present Seed2.0, a model series that takes a meaningful step toward solving complex, real-world tasks. Our approach begins with identifying users' genuine needs and constructing a reliable, forward-looking evaluation system by selecting and abstracting benchmarks grounded in these needs and in realistic, complex scenarios. Guided by this evaluation system, Seed2.0 targets two persistent challenges, long-tail knowledge and complex instruction following, substantially improving the model's reliability on intricate, long-horizon tasks. Beyond these, Seed2.0 delivers world-leading reasoning intelligence, visual understanding, and search capabilities that address the most common needs of a broad user base. Through extensive real-world use cases documented in this model card, we demonstrate that Seed2.0 begins to exhibit the ability to handle initial complex real-world tasks, delivering greater value to hundreds of millions of users.