Tuning thresholds beats prompt optimization for decision models
dbreunig argues that benchmarking decision models is meaningless without first tuning cuts and thresholds, which is cheaper and faster than prompt optimization. He adds that prompt optimization may retain unique long-term value given current fine-tuning prices.
2026-10-24 ~ 2026-10-24 · 2 related posts
- Prompt opt vs threshold tuning: cut thresholds first, then optimize prompts — dbreunig · 2026-10-24
- Given fine-tuning prices, prompt optimization may hold long-term alpha — dbreunig · 2026-10-24