Design ensemble combining {{model_candidates}} for {{task_type}}. Step 1: Evaluate individual model strengths on {{benchmark}} Step 2: Analyze error correlation between models Step 3: Design routing logic for query distribution Step 4: Test ensemble configurations (voting, cascading, routing) Step 5: Optimize for {{optimization_target}} (accuracy, cost, latency) Step 6: Validate ensemble improvement over best single model Justify each design decision.
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AnalysisUse Cases
Ensemble designModel combinationPerformance optimization
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claude-opus-4.5gpt-5.2gemini-2.0-flash
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