分类：DeepSeek

DeepSeek-V3.1 introduces hybrid inference with Think/Non-Think modes, enhancing reasoning efficiency and agent capabilities while supporting 128K context and updated APIs. (DeepSeek-V3.1引入思考/非思考混合推理模式，提升推理效率和智能体能力，支持128K上下文和更新的API。)

DeepSeek R1 demonstrates advanced code optimization capabilities, generating 99% of WASM performance improvements and showing superior reasoning in architectural decisions compared to other models. (DeepSeek R1展示了先进的代码优化能力，生成了WASM性能改进的99%代码，并在架构决策方面表现出优于其他模型的推理能力。)

DeepSeek-OCR introduces a revolutionary LLM-centric approach to OCR that integrates vision processing directly within language models, offering superior performance on complex documents through flexible resolution support and advanced prompt engineering. (DeepSeek-OCR引入了一种革命性的以LLM为中心的OCR方法，将视觉处理直接集成到语言模型中，通过灵活的分辨率支持和先进的提示工程，在复杂文档上提供卓越性能。)

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在DeepSeek-R1发布一周年之际，其代码仓库意外曝光了代号“MODEL1”的全新模型架构。技术分析显示，MODEL1与现有V32架构存在根本性差异，包括采用分层KV缓存以减少内存碎片、引入动态稀疏激活算法，以及通过混合精度流水线提升推理速度。新架构在内存优化方面进行了系统性重构，如分块注意力内存复用、动态梯度检查点调度和新型权重共享机制，显著降低了内存占用并提升了训练效率。这些改进表明DeepSeek正探索超越传统Transformer的新路径，可能预示下一代大语言模型的发展方向。

DeepSeek demonstrates that pure reinforcement learning can develop advanced AI reasoning without human demonstrations, achieving superior performance in mathematics, coding, and STEM through emergent self-reflection and verification patterns. (DeepSeek证明纯强化学习无需人类演示即可发展高级AI推理，通过涌现的自我反思和验证模式在数学、编程和STEM领域实现卓越性能。)

DeepSeek: China's leading AI model with optimized Chinese processing, strong multilingual & code generation capabilities. (DeepSeek：中国领先的AI模型，具备优化的中文处理能力、强大的多语言和代码生成功能。)

DeepSeek: China's leading open-source LLM series, excelling in reasoning, coding, math & Chinese with superior cost-performance. (DeepSeek：中国领先开源大模型系列，以卓越性价比在推理、编码、数学及中文领域表现突出。)

DeepSeek-V2.5 unified model launched, merging chat & coder capabilities. Offers enhanced alignment, writing, coding, with full API compatibility. (DeepSeek-V2.5统一模型发布，融合对话与编程能力，提供更强对齐、写作与编码性能，保持完全API兼容。)