 TVM@AliOSTFLite 1.34X MobilenetV2 QNNPACK AliOs @ Roewe RX5 MAX OpenVINO @ Intel GPU AliDS AR-Nav Product @ SUV Release and adopt TVM (Apollo Lake Gold) Ready 10 OO 2019.4 OO 2019.8 AiOS 1驱动万物智能 @ 和 Yunqi Conf AR-Nav Product Show Lanenet Model 1.6X Intel AliOs TVM Arch Model 。 Facelandmark Pedestrian & Vehicle0 码力 | 27 页 | 4.86 MB | 5 月前3 TVM@AliOSTFLite 1.34X MobilenetV2 QNNPACK AliOs @ Roewe RX5 MAX OpenVINO @ Intel GPU AliDS AR-Nav Product @ SUV Release and adopt TVM (Apollo Lake Gold) Ready 10 OO 2019.4 OO 2019.8 AiOS 1驱动万物智能 @ 和 Yunqi Conf AR-Nav Product Show Lanenet Model 1.6X Intel AliOs TVM Arch Model 。 Facelandmark Pedestrian & Vehicle0 码力 | 27 页 | 4.86 MB | 5 月前3
 Trends Artificial Intelligence
undersea cables, and early data centers that enabled Amazon, Microsoft, Google and others to lay the foundation for cloud computing. That was the first phase: store it, organize it, serve it. The second wave obligations. Global data generation figures for 2024 are estimates. Source: Capital IQ (3/25), Hinrich Foundation (3/25) Global Data Generation, Zettabytes (Red Line) 0 30 60 90 120 150 $0 $50 $100 = Performance Converging + Developer Usage Rising …At the platform level, a proliferation of foundation models has created a new kind of flexibility. Developers can now choose between dozens of models0 码力 | 340 页 | 12.14 MB | 4 月前3 Trends Artificial Intelligence
undersea cables, and early data centers that enabled Amazon, Microsoft, Google and others to lay the foundation for cloud computing. That was the first phase: store it, organize it, serve it. The second wave obligations. Global data generation figures for 2024 are estimates. Source: Capital IQ (3/25), Hinrich Foundation (3/25) Global Data Generation, Zettabytes (Red Line) 0 30 60 90 120 150 $0 $50 $100 = Performance Converging + Developer Usage Rising …At the platform level, a proliferation of foundation models has created a new kind of flexibility. Developers can now choose between dozens of models0 码力 | 340 页 | 12.14 MB | 4 月前3
 DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelLv, Y. Zhang, J. Lei, et al. C-Eval: A multi-level multi-discipline chinese evaluation suite for foundation models. arXiv preprint arXiv:2305.08322, 2023. N. Jain, K. Han, A. Gu, W.-D. Li, F. Yan, T. Zhang B. Chen, C. Li, C. Huang, G. Zhang, G. Zhang, H. Li, J. Zhu, J. Chen, J. Chang, et al. Yi: Open foundation models by 01. ai. arXiv preprint arXiv:2403.04652, 2024. R. Zellers, A. Holtzman, Y. Bisk, A. Lu, Y. Wang, A. Saied, W. Chen, and N. Duan. AGIEval: A human-centric benchmark for evaluating foundation models. CoRR, abs/2304.06364, 2023. doi: 10.48550/arXiv.2304.06364. URL https://doi.org/10.48550/arXiv0 码力 | 52 页 | 1.23 MB | 1 年前3 DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelLv, Y. Zhang, J. Lei, et al. C-Eval: A multi-level multi-discipline chinese evaluation suite for foundation models. arXiv preprint arXiv:2305.08322, 2023. N. Jain, K. Han, A. Gu, W.-D. Li, F. Yan, T. Zhang B. Chen, C. Li, C. Huang, G. Zhang, G. Zhang, H. Li, J. Zhu, J. Chen, J. Chang, et al. Yi: Open foundation models by 01. ai. arXiv preprint arXiv:2403.04652, 2024. R. Zellers, A. Holtzman, Y. Bisk, A. Lu, Y. Wang, A. Saied, W. Chen, and N. Duan. AGIEval: A human-centric benchmark for evaluating foundation models. CoRR, abs/2304.06364, 2023. doi: 10.48550/arXiv.2304.06364. URL https://doi.org/10.48550/arXiv0 码力 | 52 页 | 1.23 MB | 1 年前3
 DeepSeek从入门到精通(20250204)随机抽取 假设要为一家咖啡连锁店设计一个创新的营销活动,可以使用RCM来激发创 意。 元素库构建: ▪ 咖啡相关:豆种、烘焙、萃取、风味 ▪ 文化艺术:音乐、绘画、舞蹈、文学 ▪ 科技:AR、VR、AI、物联网 ▪ 环保:可持续、回收、碳中和、生物降解 ▪ 社交:社交媒体、直播、社区、互动 创建包含多样化元素的知识库 从元素库中随机选择元素 强制联系 创意整合 将随机选择的元素强制性地联系起来0 码力 | 104 页 | 5.37 MB | 8 月前3 DeepSeek从入门到精通(20250204)随机抽取 假设要为一家咖啡连锁店设计一个创新的营销活动,可以使用RCM来激发创 意。 元素库构建: ▪ 咖啡相关:豆种、烘焙、萃取、风味 ▪ 文化艺术:音乐、绘画、舞蹈、文学 ▪ 科技:AR、VR、AI、物联网 ▪ 环保:可持续、回收、碳中和、生物降解 ▪ 社交:社交媒体、直播、社区、互动 创建包含多样化元素的知识库 从元素库中随机选择元素 强制联系 创意整合 将随机选择的元素强制性地联系起来0 码力 | 104 页 | 5.37 MB | 8 月前3
 清华大学 DeepSeek 从入门到精通随机抽取 假设要为一家咖啡连锁店设计一个创新的营销活动,可以使用RCM来激发创 意。 元素库构建: ▪ 咖啡相关:豆种、烘焙、萃取、风味 ▪ 文化艺术:音乐、绘画、舞蹈、文学 ▪ 科技:AR、VR、AI、物联网 ▪ 环保:可持续、回收、碳中和、生物降解 ▪ 社交:社交媒体、直播、社区、互动 创建包含多样化元素的知识库 从元素库中随机选择元素 强制联系 创意整合 将随机选择的元素强制性地联系起来0 码力 | 103 页 | 5.40 MB | 8 月前3 清华大学 DeepSeek 从入门到精通随机抽取 假设要为一家咖啡连锁店设计一个创新的营销活动,可以使用RCM来激发创 意。 元素库构建: ▪ 咖啡相关:豆种、烘焙、萃取、风味 ▪ 文化艺术:音乐、绘画、舞蹈、文学 ▪ 科技:AR、VR、AI、物联网 ▪ 环保:可持续、回收、碳中和、生物降解 ▪ 社交:社交媒体、直播、社区、互动 创建包含多样化元素的知识库 从元素库中随机选择元素 强制联系 创意整合 将随机选择的元素强制性地联系起来0 码力 | 103 页 | 5.40 MB | 8 月前3
共 5 条
- 1













