Best practices to build generative AI applications on AWS

This article discusses best practices for building generative AI applications on AWS using techniques like prompt engineering, retrieval augmented generation (RAG), and model customization.

Specifically, the article covers:

• Prompt engineering techniques like zero-shot, few-shot, and chain-of-thought prompting to efficiently utilize foundation models (FMs)
• RAG to integrate FMs with enterprise data sources for more accurate and relevant responses
• Agents to enable FMs to complete real-world tasks by connecting to APIs and databases
• Model customization through fine-tuning and continued pre-training to adapt FMs to specific domains and tasks
• A decision flow chart to select the right approach based on factors like integration needs, output quality, cost, and skills
• Conclusion highlighting the value of generative AI and the importance of a systematic approach to adopting these technologies