Multi-Model Ensemble Design

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Design model ensembles through systematic optimization.

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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.

Details

Category

Analysis

Use Cases

Ensemble designModel combinationPerformance optimization

Works Best With

claude-opus-4.5gpt-5.2gemini-2.0-flash
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