OpenAI - AI in the Enterprisewith 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 new models 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 formatted citations, every time. Faster outcomes Less manual editing or re-checking means your teams can focus on high-value tasks. 15 AI in the EnterpriseLesson 5 Get AI in the hands of experts0 码力 | 25 页 | 9.48 MB | 6 月前3
Trends Artificial Intelligence
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 NVIDIA390 码力 | 340 页 | 12.14 MB | 5 月前3
Google 《Prompt Engineering v7》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 renamed to draft_filename.txt. It worked! Prompts for explaining code As a developer when you work in teams you have to read someone else’s code. Gemini can help you with this as well. Let’s take the code0 码力 | 68 页 | 6.50 MB | 6 月前3
OpenAI 《A practical guide to building agents》category of LLM-powered systems known as agents. This guide is designed for product and engineering teams exploring how to build their first agents, distilling insights from numerous customer deployments0 码力 | 34 页 | 7.00 MB | 6 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelLanguage 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-V20 码力 | 52 页 | 1.23 MB | 1 年前3
Gluon DeploymentScientist 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 20 码力 | 8 页 | 16.18 MB | 6 月前3
TVM: Where Are We GoingApache TVM recently. Independent governance, allowing competitors to collaborate. Open Code Open Development Open GovernanceAcknowledgement Apache (incubating) TVM community Our awesome community members0 码力 | 31 页 | 22.64 MB | 6 月前3
DeepSeek从入门到精通(20250204)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0 码力 | 104 页 | 5.37 MB | 8 月前3
清华大学 DeepSeek 从入门到精通需要考虑的因素 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0 码力 | 103 页 | 5.40 MB | 8 月前3
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