Prompt engineering wins on cost for most production workloads, because inference dominates lifetime spend and prompt-side levers — caching, compression, model routing — cut that bill without any training run. Fine-tuning pays back only in a narrow band: high-volume, stable tasks where shrinking the prompt removes more token cost than …
Editorial team