This article maps AWS services to generative AI application components, helping startups build and deploy AI solutions efficiently.

• Amazon Bedrock provides managed access to multiple foundation models via API
• Amazon SageMaker JumpStart offers model hub with deployment and fine-tuning capabilities
• AWS Trainium and Inferentia provide cost-effective accelerated computing for training and inference
• Zero-shot/few-shot learning requires foundation model, interface, ML platform, and compute
• Retrieval-augmented generation adds text embeddings and vector database components
• Fine-tuning approach includes data preprocessing using SageMaker Data Wrangler or AWS Glue
• Example architecture shows ingestion, retrieval, and summarization generation pipelines
• LangChain and developer tools simplify implementation across AWS services

AWS provides a comprehensive suite of managed services enabling startups to build generative AI applications without managing infrastructure, reducing time-to-market and costs.