We are hiring Research Interns ! We are looking for Master's and PhD students (final year) with a strong background in AI / ML / NLP who want to work on cutting-edge AI systems alongside Mistral AI researchers. Location: Paris, London, or Palo Alto Duration: 4-6 months
@guillaumelample
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Mistral is Recruiting for Master’s and PhD Positions
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Master's:
https://jobs.lever.co/mistral/292397f0-4ac7-4309-a0e8-63c97761a2cb
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PhD:
https://jobs.lever.co/mistral/82d34b33-6f6b-42a2-b09f-6696c83ce7d0
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Mistral OCR Release Outperforms Solutions for Enterprise Documents
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Very happy to announce the release of our latest Mistral OCR, which significantly outperforms existing solutions!
A lot of effort was done to improve handwritten content, low quality scans, and complex tables & forms commonly found in enterprise documents. -
Mistral Releases Devstral 2 Models and Mistral Vibe CLI Tool
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Very excited to release two new open-weight models, Devstral 2 (123B) and Devstral Small 2 (24B), along with Mistral Vibe, a CLI built for Devstral that enables end-to-end code automation!
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Mistral Medium 3.1 Ranks Second on LMArena Leaderboard
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Mistral Medium 3.1 is 2nd on LMArena without style control.
Very proud of the @MistralAI team ! -
Magistral: New Research Paper and Free Chat Access Released
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Paper (still WIP): https://
mistral.ai/static/researc
h/magistral.pdf
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Try Magistral for free on le Chat: https://
chat.mistral.ai/chat
Blogpost: https://
mistral.ai/news/magistral
HuggingFace: -
Mistral AI team proud announcement of upcoming work
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Very proud of this work by the @MistralAI team. A lot more soon!
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Multimodal Reasoning Emerges from Online RL Training
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We also found that multimodal reasoning capabilities emerge naturally after online RL (even when RL is only done on math & code text data), as long as you start from an initial multimodal model.
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Distilled Models Gain from Online RL Training Beyond Initial Distillation
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We found that a model distilled on reasoning traces from a larger model still benefits a lot from additional online RL training. In particular, we trained Magistral Small by distilling it from Magistral Medium and running additional RL.