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Mistral models though are not interesting as models. Context handling is weak, language is dry, coding mediocre; not sure why would anyone chose it over Chinese
by iamnotagenius 1y ago
Mistral models though are not interesting as models. Context handling is weak, language is dry, coding mediocre; not sure why would anyone chose it over Chinese (Qwen, GLM, Deepseek) or American models (Gemma, Command A, Llama).
- amai 1y agoData privacy is a thing - in Europe.
- tensor 1y agoCommand A is Canadian. Also mistral models are indeed interesting. They have a pretty unique vision model for OCR. They have interesting edge models. They have interesting rare language models. And also another reason people might use a non-American model is that dependency on the US is a serious business risk these days. Not relevant if you are in the US but hugely relevant for the rest of us.
- tootie 1y agoI flip back and forth with Claude and Le Chat and find them comparable. Le Chat always feels very quick and concise. That's just vibes not benchmarks.
- crowcroft 1y agoI haven't used it much, but I did find Le Chat to be FAST in a way that I don't always get with ChatGPT.