Trends Artificial Intelligence
ChatGPT hit the world stage all at once, growing in most global regions simultaneously. Meanwhile, platform incumbents and emerging challengers are racing to build and deploy the next layers of AI infrastructure: Adoption (ChatGPT as Proxy) = Materially Faster vs. Internet Comparables… Note: Netflix represents streaming business. Source: BOND, ‘AI & Universities’ (2024) via company filings, press Years to Reach 100MM zero users in 2/24. Source: Yum!, ‘Introducing Byte by Yum! , an AI-driven restaurant technology platform powering customer and team member experiences worldwide’(2/25) Yum! Brands Byte by Yum! – 2/24-2/250 码力 | 340 页 | 12.14 MB | 5 月前3
OpenAI 《A practical guide to building agents》instructions executes workflows in a loop 02 Multi-agent systems, where workflow execution is distributed across multiple coordinated agents Let’s explore each pattern in detail. 13 A practical guide hands-on support to ensure your success. 32 A practical guide to building agents More resources API Platform OpenAI for Business OpenAI Stories ChatGPT Enterprise OpenAI and Safety Developer Docs OpenAI0 码力 | 34 页 | 7.00 MB | 6 月前3
清华大学 DeepSeek+DeepResearch 让科研像聊天一样简单snails distributed across a vertical rocky intertidal gradient. Functional Ecology 25:177-185 Bourdeau PE(2011) Constitutive and inducible defensive traits in co-occurring marine snails distributed across0 码力 | 85 页 | 8.31 MB | 8 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelMoE-related communication costs. When expert parallelism is employed, the routed experts will be distributed across multiple devices. For each token, its MoE-related communication frequency is proportional selection of routed experts, we additionally ensure that the target experts of each token will be distributed on at most ? devices. To be specific, for each token, we first select ? devices that have experts0 码力 | 52 页 | 1.23 MB | 1 年前3
PAI & TVM Meetup - Shanghai 20191116计算平台事业部 COMPUTING PLATFORM TensorCore AutocCodeGen and Mixed-Precision Training/Inference PAI (Platform of AD Alibaba Cloud Intelligence Outline in TVM “。FP16 Mixed-Precision Training on PAI 。INT8 Inference on PAI-Blade 计算平台事业部 COMPUTING PLATFORM TensorCore AutoCodeGen Background 计算平台事业 。TensorCore 。A revolutionary 人ple/ints 人52/int32 Matrlix Identification 计算平台事业部 COMPUTING PLATFORM *。Tofigure out whether an input matrix is matrix_aor matrix_b, row_major or col_moajor. 。 Visit0 码力 | 26 页 | 5.82 MB | 6 月前3
OpenAI - AI in the Enterpriseorganization benefits from compounding improvements. Klarna, a global payments network and shopping platform, introduced a new AI assistant to streamline customer service. Within a few months, the assistant America’s largest ecommerce and fintech company, partnered with OpenAI to build a development platform layer to solve that. It’s called Verdi, and it’s powered by GPT-4o and GPT-4o mini. Today, it builds. Verdi integrates language models, Python nodes, and APIs to create a scalable, consistent platform that uses natural language as a central interface. Developers now build consistently high-quality0 码力 | 25 页 | 9.48 MB | 6 月前3
Google 《Prompt Engineering v7》Chain of Thought Prompting. Available at: https://arxiv.org/pdf/2201.11903.pdf. 10. Google Cloud Platform, 2023, Chain of Thought and React. Available at: https://github.com/ GoogleCloudPlatform/gener Acting in Language Models. Available at: https://arxiv.org/pdf/2210.03629.pdf. 14. Google Cloud Platform, 2023, Advance Prompting: Chain of Thought and React. Available at: https://github.com/GoogleC0 码力 | 68 页 | 6.50 MB | 6 月前3
亿联TVM部署network, but also get a good performance gain by autotuning 3. TVM can support many kinds of hardware platform: Intel/arm CPU, Nividia/arm GPU, VTA…5 �������������� 1. Get a .log file from the autotvm on0 码力 | 6 页 | 1.96 MB | 6 月前3
TVM Meetup Nov. 16th - LinaroAndroid NN Driver ● Arm Compute Library has been integrated by: ○ MATLAB Coder ○ ONNX RuntimeArm platform support in TVM upstream IPs Target Hardware/Model Options Codegen CPU arm_cpu pixel2 (snapdragon0 码力 | 7 页 | 1.23 MB | 6 月前3
开源中国 2023 大模型(LLM)技术报告这些平台提供了从模型开发到部署的综合解决方案,包括计算资源、 数据存储、模型训练和部署服务。它们通常提供易于使用的界面,支 持快速迭代和大规模部署。Amazon 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 TPU0 码力 | 32 页 | 13.09 MB | 1 年前3
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