Prompt Optimization vs Fine-Tuning: Run GEPA Before You Train
Run GEPA against 20 to 100 labeled examples before you fund a fine-tune. It beat RL fine-tuning in its paper and matched supervised fine-tuning in Databricks' test, but the prompt it produces is pinned to one model version.
October 11, 2026 · 17 min read