How Hugging Face is tackling bias in NLP

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Given that natural language processing (NLP) is a subset of artificial intelligence (AI), models need to train on large volumes of data. Unfortunately, many researchers are unable to access or develop the models and datasets necessary for robust systems -- they are mostly the purview of large technology giants. Hugging Face, the winner of VentureBeat's Innovation in Natural Language Process/Understanding Award for 2021, is looking to level the playing field. The team, launched by Clément Delangue and Julien Chaumond in 2016, was recognized for its work in democratizing NLP, the global market value for which is expected to hit $35.1 billion by 2026.