Runs the real GEPA optimization loop (arXiv:2507.19457) — sample-efficient reflective Pareto search. Use when rollouts are expensive and the scorer gives informative per-task feedback, and you want the most quality per evaluation. Each iteration samples a parent from a per-instance Pareto frontier,
Runs the real GEPA optimization loop (arXiv:2507.19457) — sample-efficient reflective Pareto search. Use when rollouts are expensive and the scorer gives informative per-task feedback, and you want the most quality per evaluation. Each iteration samples a parent from a per-instance Pareto frontier, evaluates it on a cheap minibatch of train tasks with full traces, builds a reflective dataset over
Esta entrada no publica ningún paquete de npm, así que Forge no tiene un árbol de dependencias para ella. Es una carencia de cobertura, no una afirmación de que no tenga dependencias.