RAG vs Fine-Tuning
When RAG is the better fit versus fine-tuning, based on the actual problem you're solving.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1What RAG changes: the information the model sees
- 2What fine-tuning changes: the model's behaviour
- 3Use cases suited to each
- 4Cost, data requirements and maintenance
- 5Combining both approaches
- 6Making the decision for your project
Who it's for
- • Developers and technical decision-makers
- • Teams customising AI for their domain
You'd leave with
- A clear comparison
- A decision checklist
- A recommended path for your use case
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