Lesson 1496 of 1596
Fine-Tune vs Prompt: When AI Tuning Pays Off
Fine-tuning is rarely the right answer for most teams — here's when it actually is.
Creators · Tools Literacy · ~7 min read
The premise
99% of use cases are solved with prompts and RAG. Fine-tuning is for narrow, repeated tasks where format matters more than content.
What AI does well here
- Lock in a specific output format reliably.
- Reduce token usage on repeated structured tasks.
- Bake in tone or style for one specific app.
- Slightly improve speed and cost for high-volume tasks.
What AI cannot do
- Add new factual knowledge effectively (use RAG instead).
- Justify the cost for low-volume use cases.
Key terms in this lesson
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