Seed2.0提升复杂现实任务处理能力，更懂真实用户需求。
Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
- 基于真实需求构建评估体系，指导模型优化
- 在长尾知识与复杂指令上表现显著提升
- 具备顶尖推理、视觉理解与搜索能力，适合广泛场景
我们提出Seed2.0模型系列，朝着解决复杂现实任务迈出关键一步。方法始于识别用户真实需求，通过选取并抽象源于实际复杂场景的基准，构建可靠且前瞻性的评估体系。在此体系引导下，Seed2.0着力攻克长尾知识与复杂指令遵循两大难题，在长时序、高复杂度任务中显著提升可靠性。此外，它在推理智能、视觉理解与搜索能力方面达到世界领先水平，满足广大用户的核心需求。通过本模型卡中详述的大量真实应用场景，证明Seed2.0已初步具备处理初始复杂现实任务的能力，为数亿用户提供更高价值。
原文摘要 · Abstract (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.
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