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Hugging Face: Difference between revisions
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As work practices have become more flexible, there has been an increase in the adoption of tools for remote collaboration between data science teams, experts, and amateurs. Sharing knowledge and resources is gaining relevance in AI in order to advance the field since probably no single company will be able to “solve” it on its own. Hugging Face embraces this community work by providing a community “Hub,” a place where users can share and examine models and datasets, therefore contributing to its goal of democratizing AI for all. <ref name="”3”"></ref> It is like the [[GitHub]] for [[AI models]]. | As work practices have become more flexible, there has been an increase in the adoption of tools for remote collaboration between data science teams, experts, and amateurs. Sharing knowledge and resources is gaining relevance in AI in order to advance the field since probably no single company will be able to “solve” it on its own. Hugging Face embraces this community work by providing a community “Hub,” a place where users can share and examine models and datasets, therefore contributing to its goal of democratizing AI for all. <ref name="”3”"></ref> It is like the [[GitHub]] for [[AI models]]. | ||
In 2019, the company raised $15 million to build a comprehensive NLP library. In 2021, it raised another $40 million in a Series B funding round in which existing investors like Lux Capital, A.Capital, and Betaworks participated. <ref name="”1”"></ref> <ref name="”4”"></ref> <ref name="”6”">Dillet, R (2021). Hugging Face raises $40 million for its natural language processing library. TechCrunch. https://techcrunch.com/2021/03/11/hugging-face-raises-40-million-for-its-natural-language-processing-library/?guce_referrer=aHR0cHM6Ly9lbi53aWtpcGVkaWEub3JnLw&guce_referrer_sig=AQAAACIYR4_aqmp84G_gD8G4LGbxperNQX6g_CtEDFPaIJ9-rf3_yCSbMhn0b4nE-oyzeK0gbOaDYg_ZBF9UVOfhOG58FUzC_cKJFEnF0YaqhE2OsWp5DljgGXCzl-J4NWMV9FrWyYhc0JSUjVvDyYSuwx096p7ABZOPQdsjU0NCJLEn</ref> Besides increasing its funding, Hugging Face has also acquired [[Gradio]], “a platform that enables anyone to demo their ML models through a web-based interface.” <ref name="”1”"></ref> | In 2019, the company raised $15 million to build a comprehensive NLP library. In 2021, it raised another $40 million in a Series B funding round in which existing investors like Lux Capital, A.Capital, and Betaworks participated. <ref name="”1”"></ref> <ref name="”4”"></ref> <ref name="”6”">Dillet, R (2021). Hugging Face raises $40 million for its natural language processing library. TechCrunch. https://techcrunch.com/2021/03/11/hugging-face-raises-40-million-for-its-natural-language-processing-library/?guce_referrer=aHR0cHM6Ly9lbi53aWtpcGVkaWEub3JnLw&guce_referrer_sig=AQAAACIYR4_aqmp84G_gD8G4LGbxperNQX6g_CtEDFPaIJ9-rf3_yCSbMhn0b4nE-oyzeK0gbOaDYg_ZBF9UVOfhOG58FUzC_cKJFEnF0YaqhE2OsWp5DljgGXCzl-J4NWMV9FrWyYhc0JSUjVvDyYSuwx096p7ABZOPQdsjU0NCJLEn</ref> Besides increasing its funding, Hugging Face has also acquired [[Gradio]], “a platform that enables anyone to demo their [[ML models]] through a web-based interface.” <ref name="”1”"></ref> | ||
==Benefits, characteristics, and impact== | ==Benefits, characteristics, and impact== | ||