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Which approach is useful when you want to improve translation quality by referring to domain knowledge in external documents on an as-needed basis?
①Perform only immediate prompt replacement using additional samples.
②Incorporate all external documents into the model via fine-tuning so that referencing them each time is unnecessary.
③Use a mechanism like Retrieval Augmented Generation (RAG) that retrieves relevant documents via search and incorporates them into the prompt.
④Always add random examples to the prompt to increase diversity.
⑤It is more effective to translate from scratch without using any translation memory.