Trends Artificial Intelligence
Internal Combustion Engine Flight Synthetic Fertilizer Transistors PCs Internet Smartphones Cloud12 …Technology Compounding Over Fifty-Plus Years = Better + Faster + Cheaper → More Note: PC units are the installed based of smartphones & tablets in 2020. Cloud & data center capex includes Google, Amazon, Microsoft, Meta, Alibaba, Apple, IBM, Oracle, Tencent, & Baidu for ten years ending 2022. ‘Tens Trillion Enterprise Impact’ via Morgan Stanley (10/23) Enabling Infrastructure CPUs Big Data / Cloud GPUs Computing Cycles Over Time – 1960s-2020s, per Morgan Stanley Note: Axis is logarithmic;0 码力 | 340 页 | 12.14 MB | 4 月前3
【周鸿祎清华演讲】DeepSeek给我们带来的创业机会-360周鸿祎-202502AGI是全球少数玩家的游戏,政府、企业、创业者更多创新的机会在应用之路 11政企、创业者必读 把大模型拉下神坛! 走入千家万户、百行千业,才能掀起新工业革命 • 当年IBM做出超级电脑,并没有带来工业 革命,因为只有少数人用 • IBM甚至声称,全世界只用5台电脑就够了 • 真正带来信息革命的是个人电脑走入千家 万户、百行千业 当年的电脑 当今的大模型 • 如果需要十万或百万张卡起玩,就无法0 码力 | 76 页 | 5.02 MB | 5 月前3
Google 《Prompt Engineering v7》In code Snippet 1 I am using the langchain framework for Python, together with VertexAI (google-cloud-aiplatform) and the google-search-results pip packages. Prompt Engineering February 2025 38 To run if you are more concerned about confidentiality, you can write these prompts within your Google Cloud account and open Vertex AI Studio. The advantage of Vertex AI Studio is that you can configure the html. 3. Google Cloud, 2023, Introduction to Prompting. Available at: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design. 4. Google Cloud, 2023, Text Model0 码力 | 68 页 | 6.50 MB | 6 月前3
开源中国 2023 大模型(LLM)技术报告SageMaker、Google Cloud AI Platform 和 Microsoft Azure Machine Learning 都是提供端到 端机器学习服务的云平台。 这些工具和库专门为加速机器学习模型的训练和推理而设计,通常利 用 GPU 或 TPU 等硬件。这类工具可以显著提高训练和推理的速度, 使得处理大规模数据集和复杂模型变得可行。NVIDIA CUDA 和 Google Cloud TPU 均是此类工具。0 码力 | 32 页 | 13.09 MB | 1 年前3
TVM: Where Are We GoingDifferentiable IR Tensor Expression and Optimization Search Space LLVM, CUDA, Metal VTA Edge FPGA Cloud FPGA ASIC Optimization AutoTVM Device FleetExisting Deep Learning Frameworks High-level data0 码力 | 31 页 | 22.64 MB | 5 月前3
XDNN TVM - Nov 2019detection Object detection Segmentation Models© Copyright 2018 Xilinx Xilinx Cloud DPU Processor (xDNNv3) >> 3 ˃ Configurable Overlay Processor ˃ DNN Specific Instruction Set Convolution0 码力 | 16 页 | 3.35 MB | 5 月前3
PAI & TVM Meetup - Shanghai 20191116PLATFORM TensorCore AutocCodeGen and Mixed-Precision Training/Inference PAI (Platform of AD Alibaba Cloud Intelligence Outline 计算平台事业部 。TensorCore0 码力 | 26 页 | 5.82 MB | 5 月前3
Deepseek R1 本地部署完全手册硅基流动社 区。 全球企业个⼈渠道附表 1. 秘塔搜索:https://metaso.cn 2. 360纳⽶AI搜索:https://www.n.cn/ 3. 硅基流动:https://cloud.siliconflow.cn/i/OBklluwO 4. 字节跳动⽕⼭引擎:https://console.volcengine.com/ark/region:ark+cn-beijing/experience0 码力 | 7 页 | 932.77 KB | 8 月前3
TVM@AliOSeverything toward intelligence. The Alios is running in vehicles, Phone, Pad and loT terminals. Provide cloud and devices co-related solutions for different terminals. 。 To help traditional car firms AliOS互联网汽车0 码力 | 27 页 | 4.86 MB | 5 月前3
OpenAI - AI in the Enterpriseexperiences. 3 AI in the EnterpriseBut leveraging AI isn’t the same as building software or deploying cloud apps. The most successful companies are often those who treat it as a new paradigm. This leads to0 码力 | 25 页 | 9.48 MB | 5 月前3
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