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掌握模型选择:亚马逊基岩版三步优势 [重复].pdf

上传人: 明**** 编号:1012933 2025-12-21 67页 1.25MB

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 9 1Mastering model choice:The 3-step Amazon Bedrock advantageScott MunsonPrincipal WW Specialist GenAI,AWSJohn LiuPrincipal Product Manager,Amazon BedrockBry

2、an KohSenior Product Manager(AI),CoinMarketCap 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaOverviewModel Selection Framework1.Identify2.Evaluate3.OptimizeCustomer story:CoinMarketCap 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.T H E M O D E L L A N

3、 D S C A P EThe Scale of Model Choice2.19M+public models available today*4,000new models released per day*Developers face an unprecedented volume-and velocity-of options*Hugging Face Hub,Oct 2025*Avg.daily releases,AugOct 2025 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.T H E

4、B O T T L E N E C KCustomer ChallengeExpensive trial and errorCostly POCs with uncertain outcomesNo selection frameworkLack consistent way to evaluate across requirementsCant keep paceWeeks to test models launching dailyScale uncertaintyWhat works in POC fails in productionModel selection delays tim

5、e-to-value and amplifies risk 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Bedrock has everything you need to build,deploy,and scale generative AI applicationsChoose the best modelOptimize for cost,latency,and accuracySecurely customize with your dataDeploy and operate a

6、gentsApply safety and responsible AI checks 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.7Amazon BedrockFOUNDATION MODEL CHOICE IS A KEYSTONE OF AMAZON BEDROCKChoose from leading model providersUse model evaluation toolsImport your own models 2025,Amazon Web Services,Inc.or its

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根据报告的内容,全文主要内容概括如下: - **模型选择框架**:包括识别、评估和优化三个步骤。 - **模型选择挑战**:开发者面临大量模型选择困难,包括成本、性能和不确定性。 - **Amazon Bedrock优势**:提供全面工具,包括模型选择、评估和定制。 - **模型选择案例**:CoinMarketCap使用Amazon Bedrock优化模型选择,实现高效推理。 - **关键数据**: - 2.19M+公共模型可用。 - 每天发布约4,000个新模型。 - 80%生产成本降低。 - **核心点**: - 使用模型评估工具和第三方资源。 - 根据差异化能力选择模型。 - 通过微调和模型蒸馏优化模型。 - 使用规则和基于LLM的路由优化推理。
"模型选择框架揭秘" "如何高效评估AI模型?" "定制化模型,提升AI应用效率"
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