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DeepSeek | 深度求索

Video · Light

Design System Inspiration

deepseek.com — extracted via DESIGN.md

AI/ML · Large Language Models

minimalist dark-theme clean futuristic typographic floating CTA card-based layout sticky navigation split-screen hero

Typography

quote-cjk-patch

Heading

Aa Aa Aa Aa

Color palette

TL;DR

DeepSeek utilizes a "Mixed" system type that balances a stark white foundation `#ffffff` with a sophisticated slate-gray palette (primarily `#475569` and `#94a3b8`). The visual identity is defined by high-contrast typography and a signature electric blue `#4d6bfe` used for primary actions and brand-critical text. Layouts favor generous whitespace and a structured 8px base grid, while elevation is achieved through complex multi-layered shadows rather than traditional solid borders. The system feels engineered and precise, prioritizing legibility and functional density.

Target audience

Developers and researchers looking for high-performance open-source large language models and API access for AI integration.

Meta description

深度求索(DeepSeek),成立于2023年,专注于研究世界领先的通用人工智能底层模型与技术,挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源,深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型,如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代码大模型,并在2024年1月率先开源国内首个MoE大模型(DeepSeek-MoE),各大模型在公开评测榜单及真实样本外的泛化效果均有超越同级别模型的出色表现。和 DeepSeek AI 对话,轻松接入 API。

Brand Voice

DeepSeek is an understated, utility-first technical brand that prioritizes performance and exploration over marketing hype.

Positioning

DeepSeek is an advanced AI research organization providing high-performance large language models and API services. It targets developers, researchers, and power users who value technical excellence and open integration.

Voice principles

  • Exploratory: Uses language that suggests discovery and pushing boundaries of the unknown.
  • Functional: Focuses on the utility of the tools (chatting, calling APIs, integrating) rather than lifestyle benefits.
  • Confident: States technical superiority (world-class performance) as a matter of fact without excessive exclamation.
  • Concise: Uses minimal word counts to direct users toward technical actions.

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