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If you want to improve the output accuracy of a generative AI for a specific business task, which customization method available on AWS is most appropriate?
①Allow only operating the model without any modifications.
②Only prohibit redistribution of the trained model.
③Only monitoring the model's performance without training.
④Adding external data to the model unconditionally and training it.
⑤Adapting the model for business use through fine-tuning, custom prompts, retraining, adapters, and so on.