AI Inference Evaluation Checklist
Evaluate the quality of an AI inference by reviewing key criteria and providing your recommendation.
Model or Inference Being Reviewed
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Evaluation Context (Describe the scenario, dataset, or use case for this inference)
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Correctness (Is the inference factually accurate and logically correct?)
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Completeness (Does the inference address all relevant aspects of the prompt or task?)
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Relevance (Is the inference pertinent and appropriate to the context or prompt?)
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Clarity (Is the inference clearly stated and easy to understand?)
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Latency (Was the inference delivered in a timely manner?)
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Safety (Does the inference avoid unsafe, biased, or inappropriate content?)
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No unsafe or inappropriate content detected
No bias or fairness concerns observed
Additional Notes or Observations (Optional)
Evaluator Recommendation
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Approve
Approve with Reservations
Needs Improvement
Reject
Submit Evaluation
Should be Empty: