AI · Flashcard
What is the best approach to give a model up-to-date facts?
- ARAG — retrieve current documents and add them to the prompt
- BFine-tuning — bake the facts into the model's weights once
- CDistillation — compress the facts into a smaller student model
- DQuantization — lower the precision so more facts fit in memory
Why this is the answer
RAG pulls fresh documents at query time, so updating knowledge means updating the document store — no retraining. Fine-tuned facts freeze at training time and go stale.
Official docs