AWS Generative AI Model Agility Solution: A comprehensive guide to migrating LLMs for generative AI production

Maintaining model agility is critical for organizations adopting generative AI. AWS’s new Generative AI Model Agility Solution provides a structured framework for migrating or upgrading LLMs on Amazon Bedrock. The core process follows a three-step approach: evaluate the source model, migrate and optimize prompts for the target model using Amazon Bedrock Prompt Optimization and the Anthropic Metaprompt tool, then evaluate the target model. This ensures continuous performance improvement while minimizing operational disruptions. The framework includes robust evaluation mechanisms that assess multiple dimensions—cost, latency, accuracy, and quality—enabling data-driven decisions through comparative analysis.

The solution also addresses dataset preparation with guidance on creating high-quality evaluation samples, including ground truth and metrics like answer relevancy and faithfulness. Users can quickly apply the solution to specific use cases via provided feature examples. The total migration time ranges from two days to two weeks depending on complexity. By automating prompt optimization and offering comprehensive reporting options, AWS enables organizations to adopt newer, more capable LLMs without rebuilding their entire AI pipeline from scratch.