• Run comprehensive gauntlet tests against all available local models
  • Test gauntlet against proprietary models (GPT-4, Gemini, etc.) for comparison
  • Establish performance benchmarks and scoring metrics
  • Analyze failure patterns across different model types and sizes
  • Document common failure points and edge cases
  • Create automated benchmark reporting and tracking system
  • Use benchmark results to guide prompt engineering improvements