With Google Translate, converting any sentence to over 100 languages is a snap, but anyone who uses it regularly knows there’s room for improvement.
In theory, large language models (LLMs) like ChatGPT should usher in the next era of language translation. They consume vast volumes of text-based training data, plus real-time feedback from millions of users around the world, and quickly learn how to “speak” a wide range of languages with coherent, human-like sentences.
But we’ve heard the “ChatGPT is going to replace everything” refrain before, only to find it’s often inaccurate—the…
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