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Training & Fine-tuningMedium· RAG vs Fine-tuning· Catastrophic Forgetting

Why is fine-tuning on documentation a poor substitute f...

The update objective in fine-tuning lacks a term for the old distribution, leading to catastrophic forgetting. Furthermore, the compute cost of updating weights (6Ngen FLOPs) is vastly higher than updating a retrieval index (2Nemb). While fine-tuning is excellent for controlling the model’s tone and format, it is not an effective mechanism for keeping knowledge current.

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