Fine-Tuning vs RAG vs Prompting
When fine-tuning, RAG, or better prompting is actually the right fix for a given problem.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1What each approach changes: instructions, knowledge or model behaviour
- 2Prompting first: when better instructions are enough
- 3RAG: when the model needs your data or current information
- 4Fine-tuning: when you need consistent style or specialised behaviour
- 5Cost, effort and maintenance of each
- 6A decision flow for your own problem
Who it's for
- • Developers and technical product owners
- • Teams deciding how to customise AI
You'd leave with
- A decision framework
- Clarity on the trade-offs of each approach
- A recommended starting approach for your use case
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