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You are developing an AI healthcare assistant using an LLM to provide medical advice based on patient symptoms. The LLM must comply with data privacy regulations and provide quick, accurate responses for medical professionals. Which configuration best meets these requirements?
You are working on a project that requires a language model to perform well across multiple languages, including low-resource languages. The model needs to be deployed on a cloud infrastructure that charges based on the number of parameters and inference time. Which approach would be the most effective for selecting an appropriate model, considering both multilingual support and cost efficiency?