Quick LLM Accuracy Assessment

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Rapidly evaluate a language model accuracy on a given dataset without examples.

30 copies0 forks
Evaluate {{model}} on {{dataset}} for {{metrics}}. Provide accuracy scores, identify failure patterns, and recommend improvements. Output results in a structured format with confidence intervals.

Details

Category

Analysis

Use Cases

Model accuracy testingDataset validationPerformance benchmarking

Works Best With

claude-opus-4.5gpt-5.2gemini-2.0-flash
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Quick LLM Accuracy Assessment | Promptsy