AI Will Likely Do in Ten Years, per ChatGPT Source: ChatGPT (5/15/25) AI = Circa 2035?36 AI Development Trending = Unprecedented37 Machine-Learning Model* Trending = In 2015... Industry Surpassed Academia Models by Sector – 2003-2024, per Stanford HAI Annual New Notable Machine-Learning Models AI Development Trending = Unprecedented38 AI Developer Growth (NVIDIA Ecosystem as Proxy) = +6x to 6MM Developers to reach 2 million.’ Source: NVIDIA blog posts, press releases, & company overviews +6x AI Development Trending = Unprecedented Global Developers in NVIDIA Ecosystem (MM) – 2005-2025, Per NVIDIA39

responsive customer experiences. 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 value faster and with greater buy-in from 
 users and stakeholders. Our approach: iterative development OpenAI is organized around three teams. Our Research Team advances the foundations of AI, developing process are best-placed to improve 
 it with AI. 06 Unblock your
 developers Automating the software development lifecycle can multiply 
 AI dividends. 07 Set bold 
 automation goals Most processes involve

board. • Move hardware complexity to software HW-SW Blueprint for Flexible Deep Learning Acceleration. Moreau et al. IEEE Micro 2019. VTA Hardware/Software Interface (ISA) VTA MicroArchitecture VTA Apache TVM recently. Independent governance, allowing competitors to collaborate. Open Code Open Development Open GovernanceAcknowledgement Apache (incubating) TVM community Our awesome community members

More on this table format, the importance of tracking prompt engineering work, and the prompt development process is in the Best Practices section later in this chapter (“Document the various prompt with the highest evaluation score. This candidate will be the final prompt you can use in your software application or chatbot. You can also tweak the select prompt and evaluate again. Prompt Engineering

Language Models (LLMs) (Anthropic, 2023; Google, 2023; OpenAI, 2022, 2023) have undergone rapid development, offering a glimpse into the dawn of Artificial General Intelligence (AGI). In general, the intelligence models, and even beats most of closed-source models. In order to facilitate further research and development on MLA and DeepSeekMoE, we also release DeepSeek-V2-Lite, a smaller model equipped with MLA and minimizing the need for human supervision. By prioritizing ethical considerations and responsible development, we are dedicated to creating a positive and beneficial impact on society. • Currently, DeepSeek-V2

Terasic DE10-Nano DEPLOY VTA ON INTEL FPGA©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 5 Software - CMA Contiguous Memory Allocation – Linux Kernel DEPLOY VTA ON INTEL FPGA https://pynq.readthedocs socfpga-4.9.76-ltsi-rt_18.08.02_pr.tar.gz©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 6 Software - CMA Contiguous Memory Allocation – Linux Kernel Module DEPLOY VTA ON INTEL FPGA Setup Environment DE10-Nano and Install Module CMA API Reference©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 7 Software - Driver Cyclone V & Arria V SoC HPS Physical Memory Map DEPLOY VTA ON INTEL FPGA©2019 HARMAN

your first agent. 3 A practical guide to building agents What is an agent? While conventional software enables users to streamline and automate workflows, agents are able to perform the same workflows coupled with robust authentication and authorization protocols, strict access controls, and standard software security measures. 24 A practical guide to building agents Think of guardrails as a layered defense

Scientist and SDE positions 2. Internship for students interested in ML system. 3. Research & Development 3. Please contact Yida (wangyida [AT] amazon [DOT] com) if interested. We are hiring! 1 2

from the Arm ecosystem, through collaborative seamless integration with the ecosystem of AI/ML software frameworks and librariesArm NN open source project ● Linaro-hosted https://www.mlplatform.org/

需要考虑的因素 任务目标、目标受众、文章类型、字数要求、特殊要求 在分析阶段，首先明确 任务目标和关键问题 通过四个关键步骤：分析（Analysis）、构思（Ideation）、发展（Development） 和评估（Assessment），为提示语链的设计提供系统化的指导。 构思阶段注重创新性思 维，探索多种解决方案 在发展阶段，逐步深化 构思并形成具体的内容 方案 最后的评估阶段用于反