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Mistral AI is currently the beacon of the open-source AI movement, and its latest release, Mistral Large, rivals Open AI’s ChatGPT-4 in performance.
There’s a new hero in the open-source community who is making a name for itself among the top-tier AI companies in the world.
Meet Mistral AI, a ten-month-old Paris-based startup that proved it can rank among the top in generative AI at a record-breaking pace. Over the last few months, Mistral AI has released world-class generative models, including Mistral-7B and Mixtral-8x7B, La Plateforme (their API service), and Le Chat (a "multilingual by design" chatbot).
Its latest and most advanced release, Mistral Large, is a new top-tier commercial model. Mistral AI’s performance on the suite of commonly used benchmarks makes it the world’s second-ranking model available through an API alongside GPT-4. This new flagship model has unique reasoning capacities, is proficient in code and mathematics, and is fluent in five languages (French, English, German, Spanish, and Italian—in line with Mistral AI’s commitment to promoting cultural and linguistic specificities in generative AI technology). It can process hundreds of pages of documents in a single call.
A Champion of the Open-Source Community
While the company is still quite new, Mistral AI’s leadership team is not. Founder and CEO Arthur Mensch left Google DeepMind to start Mistral AI with his former classmates, Timothée Lacroix and Guillaume Lample, who worked at Meta’s Paris AI lab.
There, they envisioned a radically new AI lab, one with a mission to make frontier AI ubiquitous and tailor-made with a commitment to sharing open-weight solutions.
Unlike other industry leaders that have prioritized closed-source models, Mistral AI has released both types: open and commercial AI models.
With its open models (Mistral-7B and Mixtral 8x7B) and optimized commercial models (Mistral Small, Mistral Medium, and Mistral Large), Mistral AI has become a standard-bearer for the open-source AI movement, developing models that out-perform many other LLMs from long-established and much larger companies.
Mistral AI and CoreWeave: Unrivaled Speed and Efficiency
All great race cars need strong and reliable engines. Mistral AI’s partnership with CoreWeave ensures they have the fastest and most flexible infrastructure for AI on the planet.
Speed and efficiency have set Mistral AI apart from the early days of other AI labs. Just a few months after starting their company, the team released Mistral-7B last September, thanks in part to quick access to its cluster of NVIDIA H100 Tensor Core GPUs on CoreWeave Cloud.
Mistral AI’s cost-efficiency is a testament to its masterful approach to model training and ultra-performant cluster on CoreWeave Cloud.
With ample funding, strong partnerships, fresh ideas, and now the world’s attention, Mistral AI is ready to steer the path forward for more open-source LLM achievements in generative AI.
See Mistral at NVIDIA GTC and Its Hackathon
At NVIDIA GTC, a global AI conference, Mistral AI’s CEO Arthur Mensch will sit down with CoreWeave’s SVP of Revenue, Max Hjelm, for a can’t-miss live conversation at booth 1208 at 2:00 p.m. Tuesday, March 19.
Arthur is also leading a session at 2:00 p.m. on Wednesday, March 20, at NVIDIA GTC, discussing Mistral AI’s fast achievements in open-source LLM model training and the scientific lessons learned while training its first models (Mistral and Mixtral).
After the event, Mistral AI is staying in the Bay Area over the weekend to host its first Hackathon, hosted on CoreWeave Cloud.
See more about what CoreWeave is doing at NVIDIA GTC, and learn more about Mistral AI on their webpage.
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