AWS Introduces MLLM-as-a-Judge for Multimodal RAG Evaluation in Strands Evals

AWS Machine Learning Blog·medium signal

AWS published a technical guide on using multimodal LLMs as automated evaluators for image-to-text tasks in their Strands Evals framework. The approach fills a gap in RAG pipeline evaluation where text-only metrics can't verify whether model responses are grounded in source images — critical for visual shopping, document understanding, and chart analysis. Includes implementation patterns for production deployment.