Building a Serverless AI Model Evaluation Platform on AWS
A media company developed a serverless platform on AWS to automate the evaluation of AI-generated podcast summaries. The system sends articles to multiple foundation models simultaneously via AWS Bedrock, then uses a separate AI judge, Claude Haiku, to score each output based on criteria like accuracy and engagement. Finally, it generates an HTML report for visual comparison of the results, optimizing prompt refinement and parallel model invocation for efficiency. AI
IMPACT Enables efficient comparison of multiple LLMs for content generation tasks, streamlining media production workflows.