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在 DeepL,我们始终秉承将复杂难题转化为可落地人工智能解决方案的传统。从旗舰级人工智能翻译和写作解决方案,到不断推进的前沿研究和技术创新,我们始终关注如何打造真正帮助您高效完成工作的智能技术。
Quality testing has shown that, when LLMs check translations, they favor the results of their own model, and miss its potential weaknesses. When it comes to AI, you can’t earn trust by asking a model to check its own homework. However, you can do so by building and training a different model that’s wholly focused on identifying any potential errors or misplaced meanings.






