Six prompt-optimization frameworks: what matters when you run them on the same task
TL;DR: I ran six prompt-optimization frameworks against the same task and the same eval metric over a few weeks (DSPy, GEPA, TextGrad, agent-opt, Arize Prompt Learning, and MLflow's optimizer). They a
llmasajudge.hashnode.dev4 min read