IBL News | New York<\/p>\n
New York-based Hugging Face, a startup known byan app launched in 2017 that allows you to chat with an artificial digital friend,recently open-sourced its library for natural language processing (NLP) framework, calledTransformers. It hadmassive success asthere are over a million downloads and 1,000 companies using it, including Microsofts Bing.<\/p>\n
Transformers can be leveraged for text classification, information extraction, summarization, text generation, and conversational artificial intelligence.<\/p>\n
On Tuesday, Hugging Face, with just 15 employees, announced theclose of a $15 million series, a funding round that adds to a previous amount of $5 million.<\/p>\n
The round, intended totriple Hugging Faces headcount in New York and Paris and the release of new software libraries,was ledby Lux Capital, with participation from Salesforce chief scientist, Richard Socher, and OpenAI CTO Greg Brockman, as well as Betaworks and A.Capital.<\/p>\n
Tech giants are not taking a truly open-source approach on NLP, and their research and engineering teams are totally disconnected,Hugging Face CEO, Clment Delangue, said on VentureBeat.<\/p>\n
On one hand, they provide black-box NLP APIs like Amazon Comprehend or Google APIs that are neither state-of-the-art nor flexible enough. On the other hand, they release science open source repositories that are extremely hard to use and not maintained (BERTs last release is from May and only counts 27 contributors).<\/p>\n
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