How Are LLMs Shaping the Future of Translation Technology?
LLMs are still in their infancy and are prone to mistakes such as terminology mismatches, style discrepancies, and hallucinations. As they improve, their use in translation will no doubt increase. The question is: which tasks will they handle, and which ones will be left to humans?
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