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10月2日周五
  1. AWS Machine Learning Blog

    Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

    中文摘要

    Amazon Quick Sight 是一种完全托管的、原生云业务智能（BI）功能，用于构建和发布交互式仪表板。新的层次过滤器使仪表板作者能够在单一紧凑的控件中实现丰富、多级的过滤功能，减少杂乱，并在更少的步骤中引导读者找到所需的数据。

    英文原文

    Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboard authors rich, multi-level filtering in a single compact control, reducing clutter and guiding readers to the data they need in fewer steps.

10月1日周四
  1. AWS Machine Learning Blog

    How uniopen customized Amazon Nova to their retail moderation policies for production deployment

    中文摘要

    查看台湾统一企业集团的零售平台 uniopen 如何使用 Amazon SageMaker AI 中的监督微调和提示优化，将 Amazon Nova 2 Lite 适配其内容审核政策。业务相关的评估和发布门禁机制确保了质量。

    英文原文

    See how uniopen, a retail platform from Taiwan's Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization. Business-relevant evaluation and release gates kept quality in check.

9月30日周三
  1. AWS Machine Learning Blog

    Query claims in natural language with Amazon Bedrock Knowledge Bases

    中文摘要

    这个技术教程在 Amazon Bedrock 知识库上构建了一个对话式声明助手，该助手能够用引用的方式回答自然语言问题。本文档涵盖了从 Amazon S3 导入声明文档、使用 AgenticRetrieveStream API 进行查询、多轮跟进、元数据过滤以及上下文基础的防护措施。

    英文原文

    This technical how-to builds a conversational claims assistant on Amazon Bedrock Knowledge Bases that answers natural-language questions with citations. It covers ingesting claim documents from Amazon S3, querying with the AgenticRetrieveStream API, multi-turn follow-ups, metadata filters, and contextual grounding guardrails.

  2. AWS Machine Learning Blog

    Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances

    中文摘要

    Amazon Bedrock AgentCore 运行时实例提供多智能体工作流，使用 AWS 管理的带有 GPU 的 EC2 基础设施，具有持久化卷和多天会话。在本文中，我们部署了一个三智能体的音乐制作流程，这些智能体在同一块 GPU 实例上共存，共享文件系统，并相互传递工作以生成最终的音乐作品。

    英文原文

    Amazon Bedrock AgentCore Runtime Instances gives multi-agent workflows AWS managed EC2 infrastructure with GPUs, persistent volumes, and multi-day sessions. In this post, we deploy a three-agent music production pipeline where the agents colocate on one GPU instance, share a filesystem, and hand work to each other to produce a finished track.

  3. AWS Machine Learning Blog

    Amazon Bedrock expands Claude model availability to in-country inferencing in India

    中文摘要

    Anthropic 的 Claude Opus 5、Claude Sonnet 5 和 Claude Haiku 4.5 现已通过 Amazon Bedrock 地理跨区域推理在印度推出。您可以在处理印度区域内的数据时访问这些模型，并可通过 Amazon Bedrock 控制台或使用 Messages、InvokeModel 和 Converse API 开始使用。

    英文原文

    Anthropic's Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 are now available in India through Amazon Bedrock geographic cross-Region inference. You can access these models while processing data within the India Regions, and get started from the Amazon Bedrock console or with the Messages, InvokeModel, and Converse APIs.

  4. AWS Machine Learning Blog

    Introducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore

    中文摘要

    Amazon Bedrock 现在支持 Anthropic 的 Claude Opus 5 和 Claude Sonnet 5，并在首尔提供本地推理支持，同时在新加坡支持 Claude Sonnet 5。如果您在韩国或新加坡有本地数据处理需求，现在可以大规模使用这些 Anthropic 模型，推理过程将完全在您调用的区域内进行。

    英文原文

    Amazon Bedrock now supports Anthropic's Claude Opus 5 and Claude Sonnet 5 with in-region inference in Seoul, and Claude Sonnet 5 in Singapore. If you have local data processing requirements in South Korea or Singapore, you can now use these Anthropic models at scale, with inference processed entirely within the Region you call.