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Умный портал об искусственном интеллекте и высоких технологиях в Казахстане

🌍 Global AI•Engineer / Builder

Julien Chaumond

CTO and co-founder of Hugging Face.

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Профиль

Обновлено: 13 окт. 2026 г. · wikipedia
Hugging Face, Inc., is an American company based in New York City that develops computation tools for building applications using machine learning.[vague] Hugging Face's Transformers library is built for natural language processing applications. The Hugging Face platform allows users to share machine learning models and datasets and showcase their work.[3] Hugging Face, Inc. agreed to an acquisition by Nvidia in August 2026. The company was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf in New York City, originally as a company that developed a chatbot app targeted at teenagers. The company was named after the .mw-parser-output .monospaced{font-family:monospace,monospace}U+1F917 🤗 .mw-parser-output .unichar-name{font-variant:small-caps;text-transform:lowercase;font-feature-settings:"onum"}HUGGING FACE emoji.[4] After open sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.[citation needed] On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[5] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[6][7] In February 2023, the company announced a partnership with Amazon Web Services (AWS) that would allow Hugging Face's products to be available to AWS customers to use as the building blocks for their custom applications. The company also said the next generation of BLOOM will be run on Trainium, a proprietary machine learning chip created by AWS.[8][9][10] In August 2023, Hugging Face said it was valued at $4.5 billion in a $235-million funding round backed by technology heavyweights, including Salesforce, Alphabet's Google and Nvidia.[11][12]
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