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利用 Amazon Bedrock 为 AI 和代理平台提供支持.pdf

上传人: 明**** 编号:1012755 2025-12-21 65页 1.65MB

1、 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 3 0 5Powering AI and agentic platforms with Amazon BedrockLowry SnowPrincipal WW Specialist GenAI Amazon BedrockAWS(He/him)Julia BodeaSenior Product Manager

2、Technical Amazon BedrockAWS(She/her)Dan EricksonDirector of AI EngineeringVercel(He/him)2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaChallenges scaling AI platforms&agentsPillars of an AI+agentic platformModel SwitchingEvaluation ObservabilityCustomer speaker:VercelClosin

3、g 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Top challenges&Pillars of an AI platform 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.“The average organization scraps 46%of their AI proof-of

4、-concept projects prior to production.”Key Findings-Voice of the Enterprise:AI&Machine Learning,Use Cases 2025S&P Global 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.The prototype to production“chasm”Challenges on the path to productionExcitement&potentialMeaningful business va

5、luePOCAI PLATFORM WITH AGENTSPERFORMANCESCALABILITYSECURITYGOVERNANCE 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Top challenges customers reportedAI platforms are built too static and tend to be bespokeRisks associated with exposing non-deterministic LLM outputs to external c

6、ustomersLimited observability across models and pipelinesDifficulty integrating AI into traditional development methods or longstanding business processes 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Simple call to an LLM-AI PlatformSoftware StackLLMAPIAI PlatformModelsAgentsMe

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根据报告的内容,全文主要内容概括如下: - **AI平台挑战**:平均组织在将AI项目从原型过渡到生产时,有46%的项目被废弃。 - **AI平台支柱**:可扩展性、安全性、治理、模型切换、评估和可观察性。 - **模型切换**:每年有数百个新模型发布和废弃,需要系统测试框架和可切换的架构。 - **Amazon Bedrock**:提供模型选择、定制、安全性和治理功能,包括Guardrails和AgentCore。 - **模型评估**:使用LLM作为裁判、自定义模型/应用评估、AgentCore评估。 - **可观察性**:Amazon CloudWatch和AgentCore Observability提供系统健康和性能监控。 - **Vercel案例**:展示如何使用Amazon Bedrock和Vercel构建、扩展和保障AI应用。 - **创新进展**:Bedrock新增模型、AgentCore的GA发布、Guardrails的增强等。
"AI平台挑战揭秘" "模型切换,难易知多少?" "AI平台,如何提升可观测性?"
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