XiaoMi-AI文件搜索系统
World File Search SystemAWS
AWS AI服务卡-Amazon Nova Reel
Amazon Nova Reel是专为企业用例设计的专有多模式基础模型（FM）。Amazon Nova Reel从描述性的自然语言文本字符串和可选参考图像（一起，“提示”）生成了一个新颖的视频。客户可以使用Amazon Nova Reel在广告，品牌，产品设计，书籍插图，家庭设计，时尚模型和社交媒体工作流中创建内容。此AI服务卡适用于Amazon Bedrock Console和Amazon Bedrock API使用Amazon Nova Reel。通常，客户使用控制台开发和测试应用程序，以及按大规模生产负载的API。每个Nova模型都是亚马逊基岩的托管子服务；客户可以专注于执行提示，而无需提供或管理任何基础架构，例如实例类型，网络拓扑和端点。
选择AWS安全性，身份和治理服务
Identity and access management ...................................................................................................... 16 Data protection ..................................................................................................................................... 19 Network and application protection ................................................................................................. 23 Detection and response ....................................................................................................................... 26 Governance and compliance ............................................................................................................... 30 Explore .......................................................................................................................................................... 32 Document history ................................................................................................................................................................................................................................................ 34
选择AWS网络和内容交付服务
Understand ..................................................................................................................................................... 2 Consider .......................................................................................................................................................... 4 Choose ............................................................................................................................................................. 8 Use ................................................................................................................................................................... 9 Explore .......................................................................................................................................................... 19 Document history .......................................................................................................................... 20
选择AWS机器学习服务
Introduction ................................................................................................................................................... 1 Understand ..................................................................................................................................................... 2 Consider .......................................................................................................................................................... 4 Choose ............................................................................................................................................................. 7 Use ................................................................................................................................................................... 9 Explore .......................................................................................................................................................... 21 Resources ...................................................................................................................................................... 22 Document history .......................................................................................................................... 24
迁移镜头 - AWS良好的框架
Assess Phase ........................................................................................................................................ 127 Mobilize Phase .................................................................................................................................... 128 Migrate Phase ...................................................................................................................................... 128 Conclusion .................................................................................................................................... 129 Contributors ................................................................................................................................. 130 Document revisions ..................................................................................................................... 131 Notices .......................................................................................................................................... 132 AWS Glossary ............................................................................................................................... 133
aws sdk for ruby-开发人员指南
Data Protection ........................................................................................................................................ 349 Identity and Access Management ........................................................................................................ 350 Compliance Validation ............................................................................................................................ 351 Resilience ................................................................................................................................................... 352 Infrastructure Security ............................................................................................................................ 352 Enforcing a minimum TLS version ....................................................................................................... 352
AWS规定指导 - AWS上的网络威胁情报共享
结构化威胁信息表达式（Stix）是一种开源语言和序列化格式，用于交换CTI。指标，例如文件哈希，域，URL，HTTP请求和IP地址，是要共享威胁阻塞的重要输出。但是，有效的行动取决于其他智能，例如确定性评分和入侵集相关性。stix 2.1定义18个stix域对象，包括攻击模式，行动过程，威胁参与者，地理位置位置和恶意软件信息。它还引入了概念，例如置信等级和关系，这些概念可帮助实体在威胁智能平台收集的大量数据中确定噪声中的信号。您可以在AWS环境中检测，分析和分享有关威胁的细节。有关更多信息，请参见本指南中的预防和侦探安全控制。
AWS规定指导 - 为亚马逊销售合作伙伴启用业务报告和生成AI功能
Understand application authorization .............................................................................................. 12 Authorize vendor groups for application access ............................................................................ 13 Connect to the SP-API .............................................................................................................................. 13 Building a data ingestion pipeline ............................................................................................... 14 Implementing analytics capabilities ............................................................................................ 16 Implementing generative AI ......................................................................................................... 18
AWS AI服务卡-Amazon Nova Micro，Lite和Pro
例如，亚马逊Nova Micro可用于生成产品描述。用户的目标可能是生成具有统一写作风格的产品描述，以用于在线英语产品目录。利益相关者可以包括目录的读者，他们想要简洁，准确，易于阅读且无意识的产品描述；产品提供商提供详细的产品信息，并希望其产品公平，准确地代表；目录运营商希望客户在目录中拥有统一的安全，可靠和出色的经验。为了最大程度地减少退款和交流，所有各方都优先考虑准确性。The workflow is 1/ providers submit their product feature lists online to the operator, 2/ the operator uses Amazon Nova to turn feature lists into product descriptions, 3/ the operator publishes descriptions to the catalog, 4/ catalog readers provide feedback to the owner and providers via product purchase, return and review behaviors, and 5/ the owners and providers work together to improve product features and product descriptions.输入提示包含产品名称和产品功能列表，输出完成是一个段落的产品描述。输入变化将包括不同个体的英语表达中的所有正常变化，以及更多人，包括特征点缀，不准确，拼写错误和未完成的缩写的差异。考虑到这一点，我们希望目录运营商（客户）在AWS控制台中测试一个示例提示并审查完成。根据对读者的估计负面影响顺序排名的错误类型，包括/不正确的事实，B/语言对多样化的客户群有毒或其他不合适的语言，C/关键事实省略（通过在摘要下方显示详细的产品描述来减轻省略的事实）以及D/差质量写作。
AWS上的半导体设计-AWS白皮书
IT和EDA支持组织面临的挑战是以满足时间表和预算要求的方式提供运行工作流量所需的基础架构。他们必须投资于越来越大的服务器农场和高性能存储系统，以使工作流量的高质量，快速的周转。花费了很多整体设计时间来验证组件。诸如知识产权（IP）核心的表征，功能性验证和时机分析的表征量之类的流量具有刺激性的需求，并限制了工程生产率。这需要具有足够的计算能力来最大程度地减少工程师等待结果的时间，但可能导致工作流程之间资源的利用不足。新的和升级的IC制造技术已经提高了峰值计算和存储要求，挑战组织以找到满足硅开发团队需求的方法，同时管理成本。