A few days ago, Clem Delangue, the founder of Hugging Face, participated in an interview during which he talked about the following key issues:
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Hugging Face's founding story
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How will the large model AI iterate in the future?
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Will the closed source of large companies have an impact on the open source community?
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What is the core driving the progress of large models?
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Is there a difference between a general-purpose large model and a dedicated small model?
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How to start a more competitive AI business at this stage?
Hugging Face is the world's largest AI open source community, known as the GitHub in the AI field. It was founded in 2016 with a team of nearly 170 people and is headquartered in New York.
At present, there are more than 20,000 open source data sets on the platform, more than 100,000 demos, and more than 10,000 companies use the open source AI technology on the platform. Hugging Face's official introduction is: Building the AI community of the future.
Clem Delangue is the CEO & Co-Founder of Hugging Face. Worked at eBay for 8 months as early as 2010, and his first entrepreneurial experience was at Moodstocks in 2011 - building machine learning for computer vision. The company was acquired by Google. In 2013, he came to New York, USA to be responsible for establishing the mention marketing and growth department. Founded Hugging Face in 2016. Engaged in artificial intelligence work for about 15 years.
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