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  • DeepSeek | 深度求索
    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
  • DeepSeek | 深度求索
    Founded in 2023, DeepSeek focuses on researching world-leading general artificial intelligence (AI) underlying models and technologies, tackling cutting-edge AI challenges Leveraging its self-developed training framework, self-built intelligent computing cluster, and massive computing power, the DeepSeek team has released and open-sourced several large-scale models with billions of parameters
  • DeepSeek - Wikipedia
    Based in Hangzhou, Zhejiang, DeepSeek is owned and funded by High-Flyer, a Chinese hedge fund DeepSeek was founded in July 2023 by Liang Wenfeng, the co-founder of High-Flyer, who also serves as the CEO for both of the companies [7][8][9] The company launched an eponymous chatbot alongside its DeepSeek-R1 model in January 2025
  • DeepSeek News | Todays Latest Stories | Reuters
    China's DeepSeek closes over $7 billion funding with unusual deal structure, the Information reports Chinese AI startup DeepSeek has raised more than 50 billion yuan ($7 40 billion) at a valuation
  • Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated . . .
    DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at enabling highly efficient million-token context inference
  • DeepSeek-V4: Towards Highly Efficient Million-Token Context . . .
    View recent discussion Abstract: We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1 6T parameters and DeepSeek-V4-Flash with 284B parameters — both supporting a context length of one million tokens DeepSeek-V4 series incorporate several key upgrades in architecture and optimization, and we pre-train
  • [2412. 19437] DeepSeek-V3 Technical Report - arXiv. org
    We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2 Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for
  • DeepSeek最新资讯-快科技--科技改变未来
    DeepSeek上线识图模式：认不出梁文锋 还拒绝了雷军的照片 快科技6月18日消息，今日DeepSeek多模态研究员Xiaokang Chen表示，DeepSeek的识图模式已在网页和


















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