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I want to operate external APIs and cloud-based generative AI in a cost-efficient way. Which strategy will maximize cost-effectiveness?
①Always process every request with a high-performance model.
②Assign a dedicated instance to each user.
③Pre-generate and cache all responses.
④Run frequent inferences with a low-quality model and compensate with volume.
⑤Switch between lightweight and high-precision models depending on the use case.