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Which model optimization techniques are effective when you want to support multiple languages while keeping operational costs low and achieving real-time responses?
①Keep a large-scale model running unchanged in the cloud at all times.
②Translate each input using an external translation API and use a monolingual model.
③Use only high-accuracy models at the expense of latency.
④Deploy a large number of high-performance GPUs in each region.
⑤Generate a compact and fast multilingual model using model distillation and quantization