• 托管 AI 服务概述及用例 • Amazon Rekognition 深度探究 • Amazon Rekognition 实验室 • 问答及结论
Amazon Augmented AI ................................................................................................................................ 74 Amazon Bedrock .................................................................................................................................... 74 Amazon CodeGuru ................................................................................................................................ 75 Amazon Comprehend ................................................................................................................................ 75 Amazon DevOps Guru ............................................................................................................................. 75 Amazon Forecast .................................................................................................................................... 76 Amazon Fraud Detector ............................................................................................................................. 77 Amazon Comprehend Medical ............................................................................................................................. 77 Amazon Kendra ............................................................................................................................................. 77 Amazon Lex ............................................................................................................................................. 78 Amazon Lookout for Equipment ............................................................................................................. 78 Amazon Lookout for Metrics ............................................................................................................................. 78 Amazon Lookout for Vision ............................................................................................................................. 79 Amazon Monitron ............................................................................................................................................. 79 Amazon PartyRock ............................................................................................................................................. 80 Amazon个性化 ................................................................................................................................ 80 Amazon Polly .................................................................................................................................. 81 Amazon Q .................................................................................................................................. 82 Amazon Rekognition .................................................................................................................................. 82 Amazon SageMaker AI ...................................................................................................................... 82 Amazon Textract .................................................................................................................................................................................... 89 Amazon Transcribe ........................................................................................................................... 89 Amazon Translate ................................................................................................................................ 90 AWS DeepComposer ............................................................................................................................. 91 AWS DeepRacer ...................................................................................................................................... 91 AWS HealthLake .................................................................................................................................... 91 AWS HealthScribe ............................................................................................................................. 92 AWS Panorama ...................................................................................................................................... 92 管理和治理 ............................................................................................................................................. 93
值得记住的是,如果您想要一个简单的聊天机器人、图像分类器或文本挖掘器,这些模型越来越多地作为在线服务在 Microsoft Azure 认知服务 API 或 Amazon Web Services 的 Rekognition 等产品中提供。这是一种减少实施差距的明显方法。更困难的是项目必须变得更加针对任务和更加定制化。在图 4 中,我们的调查结果显示,尽管企业热衷于部署现成的云服务,但这绝对不排除从头开始的培训。有趣的是,工业用户更有可能对他们的模型进行微调,而金融服务更有可能使用预先训练的模型。应用程序开发人员(可能最了解)比其他职业群体更不可能从头开始训练。