“Machine learning is becoming the new way to build technology, replacing software,” says Clément Delangue, cofounder and CEO of Hugging Face, which is named after the emoji that looks like a smiling face with jazz hands. “The old school of building technology was writing a million lines of code. Machine learning is starting to do that, but much better and much faster.”
“The companies you would assume are competitors on first blush—whether it’s Google or Amazon or Facebook—almost all of them are proponents,” says Lux Capital’s Brandon Reeves, who first invested in Hugging Face in 2019. “It really feels like this Switzerland-like piece of real estate in the ecosystem.”
The man turned out to be a cofounder of Moodstocks, a startup making image-recognition software using machine learning. “With a very small team, they were managing to do stuff on par with what Google was doing with 100 times more people,” he says . Impressed by the nimbleness of startups, Delangue never looked back. He declined eBay’s offer to extend his internship so that he could spend his free time at Moodstocks.
Hugging Face began as a personalized, Tamagotchi-like friend powered by a form of AI known as natural language processing . To train the chatbot’s natural language capabilities, the team also built an underlying library to house various machine-learning models—for example, one to detect the emotions behind a text message and another to be able to generate a coherent response—and the many datasets for understanding different kinds of conversational topics, like sports or classroom gossip.
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