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使用 SageMaker AI 和 Bedrock 定制大规模智能体 AI 模型.pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.A I M 3 8 1Amit ModiShelbee EigenbrodeDevelop AI Agents faster with Amazon SageMaker AI&Bedrock Ag

2、entCoreHe/himSr.Mgr.,SageMaker ModelOps and InferenceAWSShe/herSr.Mgr.,WW SA Managed AI/MLAWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Enterprises are doubling down on agentsGartner,“Top strategic Technology Trends for 2025,”October 2024 Gartner,“Top Strategic Technology Tr

3、ends:Agentic AIthe Evolution of Experience”February 202533%of enterprise software apps will include Agentic AI by 2028,up from less than 1%in 2024.15%of day-to-day work decisions will be made autonomously through Agentic AI by 2028.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.G

4、artner,“AI Maturity Matters:Proportion of AI and GenAI Prototypes Making It Into Production”41%of generative AI prototypes reached production 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.GETTING AGENTS TO PRODUCTION IS STILL HARD Model customizationTracking AI AssetsEvaluation

5、and MonitoringInferenceoptimization 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Broadest choice of model customization techniques including reinforcement learningAVAILABLE IN GANEWServerless Model Customization 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved

6、.Train and tune modelsBroadest choice of modelsBroadest choice of techniques including reinforcement learningServerless with defaults 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or

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根据报告的内容,全文主要内容概括如下: - 企业对AI代理的投入正在增加,预计到2028年,33%的企业软件应用将包含Agentic AI,日日常工作中15%的决策将由Agentic AI自主完成。 - Amazon SageMaker AI和Bedrock AgentCore提供快速开发AI代理的工具。 - SageMaker AI提供全面的服务,包括模型定制、训练、优化和部署。 - SageMaker AI Pipeline可构建可重复和可扩展的工作流程,加速开发。 - Serverless MLflow和SageMaker AI提供完全管理的MLflow日志记录和模型训练、评估跟踪。 - SageMaker AI支持新的无服务器模型评估和自定义指标评估。 - AgentCore和SageMaker AI提供可观察性,包括调试和性能监控。 - SageMaker AI Endpoint支持多模型部署和自动扩展。 - EAGLE-3头部和EAGLE头部技术用于减少延迟和提高吞吐量。 - SageMaker AI支持AI资产注册和单源真相跟踪。
"SageMaker AI,加速AI代理开发!" "2028年,AI代理将如何改变工作决策?" "SageMaker AI,打造高效模型定制体验!"
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