alt Hacker NewsIn my experience these models work fine using another language, if it’s a widely spoken one. For example, sometimes I prompt in Spanish, just to practice. It doesn’t seem to affect the quality of code generation.
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adamsb6 • yesterday at 1:57 PM
They literally just have to subtract the vector for the source language and add the vector for the target.
It’s the original use case for LLMs.
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It’s just a subjective observation.
It just can’t be a case simply because how ML works. In short, the more diverse and high quality texts with reasoning reach examples were in the training set, the better model performs on a given language.
So unless Spanish subset had much more quality-dense examples, to make up for volume, there is no way the quality of reasoning in Spanish is on par with English.
I apologise for the rambling explanation, I sure someone with ML expertise here can it explain it better.