How I Evaluated an AI Model on AWS Without Writing a Single Line of Training Code

Short summary

This tutorial walks through Amazon Bedrock's model evaluation feature, a no-code way to test AI models on your data without training infrastructure. You create a JSONL dataset with prompts and expected answers, set up S3 buckets, configure CORS, run an automatic evaluation job, and get back accuracy metrics per prompt. Includes practical examples for infrastructure setup, result interpretation, and production scaling.

• •Amazon Bedrock enables serverless AI model evaluation without training code or GPU clusters
• •Step-by-step process: Create JSONL dataset → Set up S3 buckets → Run evaluation job → Review metrics
• •Concrete examples included for CORS configuration, IAM roles, and interpreting accuracy results

Generated with AI, which can make mistakes.