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Design the Evaluation Harness
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: AI Model Certification with Llama 3.3 and Patronus AI for Compliance
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Linked challenge
AI Model Certification with Llama 3.3 and Patronus AI for Compliance
Prompt source
Original prompt text with formatting preserved for inspection.
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1 sections
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Outline the architecture for your automated evaluation harness. Specify how Llama 3.3 70B will be deployed to AI21 Studio, how data will be fed to Patronus AI for testing, and the key metrics you'll track. Detail how Butternut AI will integrate to automate the triggering and reporting of these evaluation runs.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.
Tune next
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Verify after
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.