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Timothée Lacroix

Timothée Lacroix is a co-founder and the Chief Technology Officer of Mistral AI, and a co-author of the LLaMA paper and the Mistral 7B paper.

AffiliationsMeta AIMistral AI

Overview

Timothée Lacroix is a co-founder and the Chief Technology Officer of Mistral AI [1]. The company's about page lists him under both titles, which places him among the people who started the company and among those identified with its technical direction [1].

Before Mistral

Lacroix previously worked at Meta [4]. His co-founder Guillaume Lample worked at Meta as well [4]. Large research organisations of this kind are where many people working on AI first take part in training large language models and in publishing the methods behind them, and the two men's shared background is part of what they brought with them when they started their own company.

Research contributions

In 2023 Lacroix was a co-author of two papers describing foundation language models.

The first is "LLaMA: Open and Efficient Foundation Language Models", posted to arXiv on 27 February 2023 [2]. The paper lists 14 authors, and Lacroix appears as the sixth of them [2]. Its title states the subject directly: a family of foundation language models presented as open and efficient. Papers of this kind describe how a model is built, trained and evaluated, which is why they are read well beyond the team that wrote them.

The second is the Mistral 7B paper, posted to arXiv on 10 October 2023, on which he is a co-author [3]. By that date Mistral AI had already been founded, so the paper documents a model released under the Mistral name rather than research done at a previous employer [1][3].

At Mistral AI

Mistral AI was founded in April 2023, with the stated aim of putting frontier AI in everyone's hands [1]. Lacroix's title, Chief Technology Officer, conventionally denotes responsibility for a company's engineering and technology direction, and the company's about page presents him as holding exactly that post [1].

The dates around him form a short sequence: a paper on foundation language models in February 2023, the founding of the company in April 2023, and a paper on the company's own model in October 2023 [1][2][3].

Why it matters

Lacroix's record traces a path that became common in this period of AI research: work on large language models at an established lab, publication of the resulting methods, and then a founding role at a company that builds such models [1][2][4]. Because two of the documents attached to his name are public papers rather than internal reports, his technical contribution can be read directly in the literature, alongside the job title he holds at the company he co-founded [1][2][3].

CapabilitiesLarge language models

Ecosystem & regionOpen sourceEurope

Career timeline

4
  1. 2013
    • Meta AI Worked at

      Meta AI is the AI research and model-building organisation of Meta Platforms. Founded in late 2013 as Facebook AI Research, it produced PyTorch and the Llama and Muse model families, and it is separate from the Meta AI assistant product.

  2. 2023
    • LLaMA Contributed to

      A family of foundation language models from Meta AI, released in 7B to 65B parameter sizes and trained on public data; its 13B model was reported to beat GPT-3 on most benchmarks.

    • Mistral AI Founded、Worked at 2023–

      Mistral AI is a Paris-based company founded in April 2023. It builds open-weight and commercial large language models, the Le Chat assistant and the Vibe coding agent, and it has grown quickly through several large funding rounds.

    • Mistral 7B Contributed to

      Mistral AI's first model: a 7.3-billion-parameter language model released in September 2023 under the Apache 2.0 license, built to match much larger models on standard benchmarks.

Founded1

20231

  1. FundingMistral AI raises a €105 million seed round

    In June 2023 Mistral AI, founded two months earlier, raised €105 million in a seed round led by Lightspeed, reported as Europe's largest seed round, before it had released a product.

Contributed to2

Notes and sources

  1. About Mistral AIhttps://mistral.ai/about
  2. LLaMA: Open and Efficient Foundation Language Modelshttps://arxiv.org/abs/2302.13971
  3. Mistral 7Bhttps://arxiv.org/abs/2310.06825
  4. Mistral AIhttps://en.wikipedia.org/wiki/Mistral_AI

Cite this page: Timothée Lacroix. TellWorld, https://www.tellworld.net/people/timothee-lacroix. Updated 2026-11-08