We are announcing €600M in Series B funding for our first anniversary. We are grateful to our new and existing investors for their continued confidence and support for our global expansion. This will accelerate our roadmap as we continue to bring frontier AI into everyone’s
@arthurmensch
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Easier Fine-Tuning for Faster Differentiated AI Models
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A first step towards faster and stronger differentiated models for your use cases. We've rethought fine-tuning to make it super easy to use, both at training and inference.
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Mistral AI Launches Codestral with Non-Production License
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With Codestral, our newest state-of-the-art code model, we are introducing the Mistral AI non-production license (MNPL). It allows developers to use our technology for non-commercial use and research. It ensures that every actor on the value chain builds successful businesses.
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Team achieves breakthrough in simplified model customization
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Very proud of the team, a first step towards making model customisation much simpler.
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Harvey Partners to Build Domain-Specific Legal AI Models
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We are very excited to partner with Harvey to help build domain-specific models! Our platform's deployment flexibility and high customisation capabilities will help Harvey address the highly regulated legal industry.
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Rewriting Scipy Fortran LBFGS Wrapper for Better Usability
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Guilty as charged, somebody should rewrite the Fortran lbfgs wrapper from scipy to make it more idiot proof at some point
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Apache 2.0 Open Source AI Model Released Today
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Official now, very proud of the team! Apache 2.0 and instructed versions for your pleasure, available today on la Plateforme
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Snowflake Partnership Launches Specialist AI Models
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Super excited by this partnership with @SnowflakeDB
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Mistral Partners with AWS to Expose Models on Amazon Bedrock
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Very happy to partner with @awscloud to expose Mistral models on Amazon Bedrock, as we continue to bring our technology to every developer.
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GitHub Stars Correlation with Superfluous Parameters Debate
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Congratulations, interesting how Github stars seem to correlate to superfluous parameters