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There has been a significant transformation in artificial intelligence (AI)-powered translation, shifting from static outputs to dynamic, user-driven customization. Traditional machine translation models have often lacked accuracy, context, and nuance, operating under a one-size-fits-all paradigm. The future of AI translation, however, lies in adaptability—where AI evolves based on user needs,Continue Reading