Each Year AI Technology Compounding = Numbers Behind The Momentum 0 50 100 2017 2018 2019 2020 2021 2022 2023 2024 Includes models from • xAI • Anthropic • Meta • NVIDIA • Mistral • Arc Institute Evolution = Over ~Six Centuries Printing Press – Invented 144024 …Knowledge Distribution – 1993-2021 = Active + Digital Delivery… *The internet is widely agreed to have been ‘publicly released’ in 1993 Developers Over Seven Years Number of Developers, MM 0 3 6 2005 2007 2009 2011 2013 2015 2017 2019 2021 2023 2025 Note: We assume negligible developers in NVIDIA’s ecosystem in 2005 per this text from

demonstrates great advantages compared with conventional MoE architectures like GShard (Lepikhin et al., 2021), enabling us to train strong models at an economical cost. As we employ expert parallelism during parame- ters, DeepSeekMoE can outperform conventional MoE architectures like GShard (Lepikhin et al., 2021) by a large margin. Let u? be the FFN input of the ?-th token, we compute the FFN output h′ ? as respectively. Expert-Level Balance Loss. We use an expert-level balance loss (Fedus et al., 2021; Lepikhin et al., 2021) to mitigate the risk of routing collapse: LExpBal = ?1 ?? ∑︁ ?=1 ????, (23) ?? =

kaggl e全球医疗对话理解 金牌 2021全球人工智能技术创新大赛-小布助手对话短文本语义匹配 一等奖 2022全球人工智能技术创新大赛-商品标题实体识别 一等奖 第十八届中国计算语言学大会-小牛杯中文幽默计算 一等奖 第十届全国社会媒体处理大会-中文隐式情感分析 一等奖 2021全球开放数据应用创新大赛-基于文本挖掘的企业隐患排查质量分析模型 第一名 2021中国计算机学会大数据与计算智能大赛-“千言〞 2021中国计算机学会大数据与计算智能大赛-“千言〞 问题匹配鲁棒性评测 第一名 2021年全国知识图谱与语义计算大会-医疗科普知识答非所问识别 第一名 互联网虛假新闻检测2019全球挑战赛-虛假新闻多模态检测 第一名 中国法研杯CAIL2020司法人工智能赛 第一名 DeepSeek的三种模式 平台 地址 版本 备注 英伟达NIM微服务 https://build.nvidia.com/d eepseek-ai/deepseek-r1