Full fine-tuning vs PEFT vs prompting vs RAG: when to use what
You have a powerful base model and a specific task. Before writing a single line of training code, you should ask: do I actually need to train anything? The answer is often no. This lesson builds a decision framework — from cheapest and fastest (better prompting) to most expensive and capable (full fine-tuning) — so you spend compute only when it genuinely helps.
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