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ClΓ©ment 'Clem' Delangue is a French entrepreneur and technology leader, best known as the co-founder and CEO of Hugging Face. With a mission to democratize artificial intelligence, he has positioned Hugging Face as the central, open-source platform for the machine learning community, often referred to as the 'GitHub of AI'. His focus is on fostering collaboration, ethics, and accessibility in AI development. Before leading the AI revolution with Hugging Face, Clem co-founded Moodstocks, a visual recognition startup that was acquired by Google in 2016. He is a prominent voice in the AI space, advocating for a future where technology is built collaboratively and serves humanity.
Clem Delangue π€'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Hugging Face in 2016, building it into the leading open-source platform and community for AI. The platform hosts hundreds of thousands of models and datasets, accelerating AI development and collaboration globally and achieving a multi-billion dollar valuation.
Recognized in the Forbes 30 Under 30 Europe list for Technology in 2018 for his significant contributions to the AI and tech industry through his work with Hugging Face.
Co-founded and served as Head of Sales & Marketing for Moodstocks, a machine learning startup specializing in image recognition, which was successfully acquired by Google in 2016.
Has successfully established and promoted an open-source, community-driven approach to AI, creating a powerful alternative to the closed-source models developed by large tech corporations and fostering a more transparent and accessible AI ecosystem.
Stanford University - Year 2011
ESCP Europe - Year 2008
Indian Institute of Management Bangalore - Year 2010
University College Dublin - Year 2011
Universidad Carlos III de Madrid - Year 2009
Saint Jean Douai - Year 2006
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Hugging Face is an AI community and technology company that has become a central hub for the machine learning world. From an end-user perspective, it is best known for its open-source platform that provides tools for building, training, and deploying state-of-the-art machine learning models. The platform features the popular 'Transformers' library, a massive repository of pre-trained models (the Hub), datasets, and interactive demos (Spaces), empowering developers and researchers to easily integrate advanced AI capabilities into their applications. The company's mission is to democratize good machine learning, making it more accessible and collaborative.
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