AI & Data
AWS AIP-C01: Prompt Management for Production GenAI Systems
A prompt used in production is part of an application's behavior, not a free-form note that a developer can change…
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AI & Data
AWS AIP-C01: Observability for Generative AI Applications
Observability for a generative-AI application must explain why a business outcome happened, not only whether an API returned a successful…
Cloud Computing
AWS AIP-C01: Guardrails and Content Safety in Amazon Bedrock
Content safety for a foundation-model application must address both inappropriate output and inappropriate use of a legitimate tool. Amazon Bedrock…
DevOps & Automation
AWS AIP-C01: Evaluating Foundation Models Pre-Deployment
A foundation model evaluation is useful only when it represents the application that will use the model. A broad language…
Cloud Computing
AWS AIP-C01: Amazon Bedrock Cost Optimization
A generative-AI service can be inexpensive per request and still waste money if it retries repeatedly, retrieves irrelevant passages or…
AI & Data
AWS AIP-C01: CI/CD for Generative AI Applications
Continuous delivery for a generative-AI application must treat models, prompts, retrieval indexes, tool schemas and access policies as parts of…
AI & Data
AWS AIP-C01: Building RAG Applications with Amazon Bedrock
Retrieval augmented generation (RAG) is not a technique for teaching a foundation model confidential facts permanently. It is an application…
AI & Data
AWS AIP-C01: Agentic AI Patterns with Amazon Bedrock
Agentic AI gives a model the ability to choose among bounded tools and plan several steps toward a business objective.…
Cloud Computing
AWS DEA-C01: Redshift Distribution Styles and Sort Keys
Redshift Distribution Styles and Sort Keys belongs inside AWS data ingestion, transformation, storage, analytics, and governance because the topic affects…