You speak English to ChatGPT and get a thoughtful, nuanced answer. You speak French and get… something different. Here’s why.<\/p>\n
Most large language models are trained primarily on English text. Way more English books, articles, code, and internet content than French. The model is biased toward English patterns, English logic, English humor. French comes second.<\/p>\n
An English prompt gives you a thoughtful response. A French prompt gives you a decent response, but something’s off. It’s less nuanced. Sometimes it doesn’t quite understand the context. The model is basically translating its English thinking into French, rather than thinking in French natively.<\/p>\n
French grammar is more complex than English in some ways (gendered nouns, subjunctive mood). AI sometimes flattens these nuances. A French speaker will notice the response sounds a bit off\u2014not wrong, but artificial, like it’s made by someone who learned French from a textbook.<\/p>\n
References, humor, idioms\u2014these don’t translate cleanly. An English speaker asks about American politics, AI gets it. A French speaker asks about Quebec politics, AI is less sure. It doesn’t have the cultural grounding.<\/p>\n
This applies to any language that’s not English (or Mandarin, Spanish\u2014the mega-languages). German? Good, but not as good as English. Dutch? Pretty good. Polish? Getting worse. Icelandic? AI doesn’t really speak Icelandic.<\/p>\n
New models are training on more multilingual data. Claude, GPT-4, others are getting better at French specifically. But the gap still exists. English is still the default language of AI.<\/p>\n
If you need AI to work well in French: choose a model trained with good French data (Claude is decent, some others less so). Check the output. Be aware the model might not catch all the cultural context. Use it as a starting point, not gospel.<\/p>\n","protected":false},"excerpt":{"rendered":"
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