AIF-C01 - Applications of foundation models - Section 3.2
Explain retrieval-augmented generation and when to use it over fine-tuning.
Use retrieval-augmented generation to ground answers in current documents without retraining, and recognise that a frequently changing source needs a re-index rather than a fine-tuning run. Contrast this with fine-tuning, which bakes knowledge into weights.
Retrieval-augmented generationFine-tuning vs RAGVector store
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