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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 - Wikipedia
Based in Hangzhou, Zhejiang, DeepSeek is owned and funded by the Chinese hedge fund High-Flyer 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 · GitHub
Python 22,764 MIT 2,092 250 (3 issues need help) 38 Updated on Jan 26 DualPipe Public A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3 R1 training
- DeepSeek是什么？一文看懂国产开源大模型 DeepSeek 的功能、特点与使用方法-腾讯云开发者社区-腾讯云
深度求索(DeepSeek)在2023年AI"百模大战"中脱颖而出，凭借开源策略和技术创新打造了DeepSeek-Coder、DeepSeek-MoE和DeepSeek-VL三大模型。其代码模型性能媲美GPT-4，MoE架构实现低成本高性能，多模态模型突破文本视觉界限。完全开源免费商用，构建了完整开发者生态，正重塑中国
- 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 - Free AI Chat
Chat with DeepSeek AI for free Get instant help with writing, coding, math, research, and more No signup required
- deepseek-ai DeepSeek-V3 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science
- 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。
- DeepSeek AI
DeepSeek AI is a Chinese artificial intelligence research company known for developing powerful large language models Their flagship models include DeepSeek-V3 (a general-purpose LLM with 671B parameters) and DeepSeek-R1 (a reasoning-focused model that shows its thinking process)
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts . . .
We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference It comprises 236B total parameters, of which 21B are activated for each token, and supports a context length of 128K tokens
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