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AI Economics10 min read

When Fine-Tuning Makes Economic Sense (And When It Doesn't)

Fine-tuning costs $5K-$50K. Here's the framework for deciding if it's worth it.

By Richard Ewing·

The Fine-Tuning Decision

Fine-tuning makes sense when: you need domain-specific accuracy >95%, your query volume exceeds 10K/day, prompt engineering reaches diminishing returns, or you need latency under 200ms.

Fine-tuning does NOT make sense when: query volume is low (<1K/day), requirements change frequently, training data is insufficient (<10K examples), or prompt engineering achieves adequate results.

Calculate breakeven: fine-tuning cost / (prompt_engineering_cost_per_query - fine_tuned_cost_per_query) / daily_queries.

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Published Work

This article expands on ideas from my published work in CIO.com, Built In, Mind the Product, and HackerNoon. View published articles →

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Richard Ewing

The Product Economist — Quantifying engineering economics for technology leaders, PE firms, and boards.