亚马逊人工智能购物助手:从客户互动中汲取的关键经验.pdf

编号:1013167 PDF 23页 519.94KB 下载积分:VIP专享
下载报告请您先登录!

亚马逊人工智能购物助手:从客户互动中汲取的关键经验.pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.A M Z 3 0 1Amazon AI shopping assistant:Key learnings from customer interactionsJames ParkHe/HimPrincipal ML Specialist SA AWS Charlie TaylorHe/HimSenior Software EA

2、mazon 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaWhat is Rufus?High level architectureLessons learned with examples 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon on AWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Operat

3、ing at Amazon scale626 billion inference requests on SageMaker AIECS launched 18.4 million tasks1.7 trillion Lambda invocationsAPI Gateways handled 1 trillion requests20.3 trillion I/O requests on EBS151 million requests per second on DynamoDB1.5 quadrillion ElastiCache requestsKinesis stream 807 mi

4、llion records per secondGuardDuty 8.9 trillion log events per hourCloudFront served 3 trillion HTTP requests500 billion transactions,stored 4,071 terabytes of data,and transferred 999 terabytes of data on Aurora2.5 trillion CloudTrail events87,000 Trainium&Inferentia chipsOutposts sending 524 millio

5、n commands to over 7,000 robots 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What is Rufus?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What is Rufus?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What is Rufus?2025,Amazon Web Services,

6、Inc.or its affiliates.All rights reserved.What is Rufus?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What is Rufus?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Rufus is powered by:Amazon Bedrock Amazon Trainium Amazon Elastic Container Service 2025,Amazon

友情提示

1、下载报告失败解决办法
2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
4、本站报告下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。

本文(亚马逊人工智能购物助手:从客户互动中汲取的关键经验.pdf)为本站 (明日何其多) 主动上传,三个皮匠报告文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知三个皮匠报告文库(点击联系客服),我们立即给予删除!

温馨提示:如果因为网速或其他原因下载失败请重新下载,重复下载不扣分。
客服
商务合作
小程序
服务号
折叠