aws-samples/sample-gen-ai-evaluations-workshop

This workshop teaches systematic approaches to evaluating Generative AI workloads for production use. You'll learn to build evaluation frameworks that go beyond basic metrics to ensure reliable model performance while optimizing cost and performance.

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This workshop helps you ensure your Generative AI applications deliver accurate, cost-effective, and reliable results before and after they go live. You'll learn how to set up robust testing frameworks that take your AI outputs and measure them against quality, performance, and cost benchmarks. This is for AI solution architects, machine learning engineers, and product managers responsible for deploying and maintaining Generative AI systems.

Use this if you are building or deploying Generative AI applications and need a systematic way to evaluate their performance, cost, and output quality.

Not ideal if you are looking for a basic introduction to Generative AI concepts rather than hands-on evaluation strategies.

Generative AI AI Application Development Model Evaluation MLOps AI Performance Tuning
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 15 / 25
Community 12 / 25

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27

Forks

4

Language

Jupyter Notebook

License

MIT-0

Last pushed

Mar 02, 2026

Commits (30d)

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