OpenAI - AI in the EnterpriseAI in the Enterprise Lessons from seven frontier companiesContents A new way to work 3 Executive summary 5 Seven lessons for enterprise AI adoption Start with evals 6 Embed AI into your products new models and capabilities. Our Applied Team turns those models into products, like ChatGPT Enterprise and our API. And our Deployment Team takes these products into companies to address their most shapes future products and models. 4 AI in the EnterpriseExecutive summary Seven lessons for enterprise AI adoption 01 Start with evals Use a systematic evaluation process to measure how models perform0 码力 | 25 页 | 9.48 MB | 6 月前3
Trends Artificial Intelligence
challengers are racing to build and deploy the next layers of AI infrastructure: agentic interfaces, enterprise copilots, real-world autonomous systems, and sovereign models. Rapid advances in artificial intelligence smartphones, IOT devices, robotics, etc. Source: Weiss et al. ‘AI Index: Mapping the $4 Trillion Enterprise Impact’ via Morgan Stanley (10/23) Enabling Infrastructure CPUs Big Data / Cloud GPUs Computing NVIDIA Co-Founder & CEO Jensen Huang @ COMPUTEX 2025 – 5/2567 ‘Traditional’ Enterprise AI Adoption = Rising Priority68 Enterprise AI Focus – S&P 500 Companies = 50% & Rising Talking-the-Talk . Source:0 码力 | 340 页 | 12.14 MB | 5 月前3
OpenAI 《A practical guide to building agents》workflows effectively. While it’s tempting to immediately build a fully autonomous agent with complex architecture, customers typically achieve greater success with an incremental approach. In general, orchestration technical issues, system outages, or product troubleshooting." "Sales Assistant Agent" "You help enterprise clients browse the product catalog, recommend suitable solutions, and facilitate purchase transactions guide to building agents More resources API Platform OpenAI for Business OpenAI Stories ChatGPT Enterprise OpenAI and Safety Developer Docs OpenAI is an AI research and deployment company. Our mission0 码力 | 34 页 | 7.00 MB | 6 月前3
开源中国 2023 大模型(LLM)技术报告TensorFlow 和 PyTorch 和 Hugging Face Transformers 等。 TensorFlow 架构图 (图源:https://www.geeksforgeeks.org/architecture-of- tensorflow/) 12 / 32 LLM 基础设施:编程语言 LLM 的训练和应用通常使用多种编程语言,取决于任务的需求和团 队的偏好。 。它的广泛使用得 益于其简洁的语法、强大的库支持(如 渐司空见惯。 分析公司 O’Reilly 日前发布一份 《2023 Generative AI in the Enterprise》报告, 报告中指出, 。 图源:https://www.oreilly.com/radar/generative-ai-in-the-enterprise/ 21 / 32 AI 编程工具:插件、IDE、终端 目前最常见的 AI 编程工具大多以插件、IDE 和终端0 码力 | 32 页 | 13.09 MB | 1 年前3
2023 中国开源开发者报告的应用在图像、 视频、编码、语音等领域取得了突破性的进展,带动了 180 亿美元的风险投资和企业投资。 O'Reilly 发 布 的 “ 2023 Generative AI in the Enterprise”报告显示: 54% 的 AI 用户预计 AI 的最大好处是提高生产力。 77% 的受访者使用 AI 来辅助编程。其中提到的具体 应用包括欺诈检测、教学和客户关系管理。 AI 内核维护者回复了简短的通知:我们不愿意接受来自贵组织生产的硬件或与 之相关的补丁。 2023 年 6 月,红帽宣布了限制源代码 访问性的政策,称其企业发行版 RHEL (Red Hat Enterprise Linux)相关源码 仅通过 CentOS Stream 公开,付费客 户 和 合 作 伙 伴 可 通 过 Red Hat Customer Portal 访问到源代码。 8 月,素有 “全球白帽黑客奥斯卡奖” TensorFlow 和 PyTorch 和 Hugging Face Transformers 等。 TensorFlow 架构图 (图源:https://www.geeksforgeeks.org/architecture-of- tensorflow/) 52 / 87 LLM 基础设施:编程语言 LLM 的训练和应用通常使用多种编程语言,取决于任务的需求和团 队的偏好。 。它的广泛使用得 益于其简洁的语法、强大的库支持(如0 码力 | 87 页 | 31.99 MB | 1 年前3
Apache OFBiz User Manual 22.01 Introduction to OFBiz Welcome to Apache OFBiz! A powerful top level Apache software project. OFBiz is an Enterprise Resource Planning (ERP) System written in Java and houses a large set of libraries, entities, system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented Architecture (SOA). Services are units of business logic that take a set of input values and produces a set0 码力 | 8 页 | 88.40 KB | 1 年前3
Apache OFBiz User Manual Release 18.12Introduction to OFBiz Welcome to Apache OFBiz! A powerful top level Apache software project. OFBiz is an Enterprise Resource Planning (ERP) System written in Java and houses a large set of libraries, entities, system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented Architecture (SOA). Services are units of business logic that take a set of input values and produces a set0 码力 | 27 页 | 334.94 KB | 1 年前3
2024 中国开源开发者报告Processing Systems 36 (2024). 【6】Karpas, Ehud, et al. "MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning." arXiv Ventures 在 2024 年 11 月 20 日发布的市场调研报告。 来源:https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise/ 根据 Menlo Ventures 发布的市场调研报告显示,RAG 以 51%的市场份额在企业市场份额 中占据绝对优势,Fine-tune 和 Prompting 工程均下降两倍多。Agent 问题,中国的计算机科学家给出了答案——科学计算与超级计算机。2007 年,国防科大杨学 军院士带领团队在国际计算机体系结构旗舰会议 ISCA 上发表题为“A 64-bit stream processor architecture for scientific applications”的学术论文[19],揭示了流处理器架构 可大幅加速科学计算。这项工作不仅为具备大量流处理器的 GPU 开辟了新应用场景,也为超0 码力 | 111 页 | 11.44 MB | 8 月前3
Apache OFBiz User Manual Version trunk Version unspecifiedIntroduction to OFBiz Welcome to Apache OFBiz! A powerful top level Apache software project. OFBiz is an Enterprise Resource Planning (ERP) System written in Java and houses a large set of libraries, entities, system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented Architecture (SOA). Services are units of business logic that take a set of input values and produces a set profile (visit Party Profile screen). Assets These are all of the non-inventory "things" that the enterprise owns. These are items of value owned by the business. There are different types of assets (fixed0 码力 | 237 页 | 2.74 MB | 1 年前3
Apache OFBiz User ManualIntroduction to OFBiz Welcome to Apache OFBiz! A powerful top level Apache software project. OFBiz is an Enterprise Resource Planning (ERP) System written in Java and houses a large set of libraries, entities, system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented Architecture (SOA). Services are units of business logic that take a set of input values and produces a set profile (visit Party Profile screen). Assets These are all of the non-inventory "things" that the enterprise owns. These are items of value owned by the business. There are different types of assets (fixed0 码力 | 307 页 | 5.64 MB | 1 年前3
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