DSPy SIMBA Optimizer

Goal

Optimize DSPy programs using stochastic mini-batch sampling, output variability, self-reflective rules, and successful demonstrations.

When to Use

• Need lighter-weight alternative to GEPA
• Have a numeric metric that captures task quality
• Want introspective rules and demonstrations
• Budget-conscious optimization (fewer eval calls)
• Programs where few-shot examples aren't critical

Related Skills

• Alternative optimizers: dspy-miprov2-optimizer, dspy-gepa-reflective
• Agent optimization: dspy-react-agent-builder
• Evaluation: dspy-evaluation-suite