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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
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    Chat with DeepSeek AI for free Get instant help with writing, coding, math, research, and more No signup required
  • 深度求索 - 维基百科，自由的百科全书
    付费培训 DeepSeek爆火之后，中国大陆网络出现了很多针对DeepSeek在 电商 、 自媒体 、教育、 编程 等领域应用的培训课程，内容包括本地部署、提示语等，有些为免费，有些则须支付几十到上千元不等的费用。
  • GitHub - deepseek-ai DeepSeek-V3
    We introduce an innovative methodology to distill reasoning capabilities from the long-Chain-of-Thought (CoT) model, specifically from one of the DeepSeek R1 series models, into standard LLMs, particularly DeepSeek-V3
  • DeepSeek - AI Assistant V3 Chat
    DeepSeek is a Chinese company specializing in artificial intelligence, particularly in natural language processing (NLP) and large language models (LLMs) It develops advanced AI technologies for applications like conversational AI, content generation, and data analysis
  • DeepSeek News | Todays Latest Stories | Reuters
    China's DeepSeek's new model called V4 will run on the latest chips designed by Huawei Technologies, U S digital news outlet The Information reported on ‌Friday
  • DeepSeek V4 傳改用華為 AI 晶片，阿里巴巴、字節跳動和騰訊搶下單 | TechNews 科技新報
    根據《The Information》報導，中國 AI 新創 DeepSeek 即將推出的新一代模型 V4，將採用華為最新 AI 晶片運行。為因應模型上線需求，包括阿里巴巴、字節跳動與騰訊等中國科技巨頭，已提前下單華為新一代晶片，訂單規模達數十萬顆。 報導指出，DeepSeek-V4 預計將於未來數
  • DeepSeek (深度求索): Latest News and Updates | South China Morning Post
    DeepSeek is a Chinese artificial intelligence company founded by Liang Wenfeng Its low-cost AI model was developed with significantly fewer computing resources than those of bigger US tech firms
  • DeepSeek - Financial Times
    Stay up-to-date with breaking news and top stories on DeepSeek In-depth analysis, industry insights and expert opinion
  • [2412. 19437] DeepSeek-V3 Technical Report - arXiv. org
    Comprehensive evaluations reveal that DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models Despite its excellent performance, DeepSeek-V3 requires only 2 788M H800 GPU hours for its full training





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