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Coding isn't the only use case.

Neither is being bleeding edge.

I use Mistral's models, I've built an entire internal-knowledge-pipeline of sort using Mistral's products (which involved anything from OCR, to summarization, to linking stuff across different services like Jira or Teams, etc) and I've been very happy with it.

We did consider alternatives and truth to be told none was as cost-effective, fast and satisfying (and also our company does not trust US AI companies to not do stuff with our data).



My god the cost right? It's so much less than any of the competition that just feeding off of an api key (for coding, yeah) works great.

But as you say the rest of it is good too. I use it for research and to me it does a great job, all for a fraction of the price and the carbon of the U.S. players.


So you're not able to trust inference providers like Google Cloud w/ ZDR etc with your data?


My EU-based clients are unwilling to do so as we see all clouds as black boxes you have no real idea what you getting into.

Most of our hosting is also on European providers, my team's the only one that deploys some services on Azure.




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