LLM Council A/B Testing: Optimizing Configurations
Running experiments to find optimal council configurations.
LLM A/B testingAI experimentationcouncil optimization
A/B Testing Framework
Experiment to find the best configurations.
Test Variables
Model Selection
- Different model combinations
- Provider alternatives
- Size tradeoffs
Parameters
- Consensus thresholds
- Temperature settings
- Prompt variations
Experiment Design
- Hypothesis: What to test
- Metrics: How to measure
- Duration: How long to run
- Sample: How many queries
Analysis
- Statistical significance
- Effect size
- Cost implications
Best Practices
- Test one variable at a time
- Use sufficient sample sizes
- Document results