{"id":104,"date":"2020-08-20T17:19:59","date_gmt":"2020-08-20T17:19:59","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/08\/20\/theres-a-code-for-that-hugging-faces-sam-shleifer-talks-natural-language-processing\/"},"modified":"2020-08-20T17:19:59","modified_gmt":"2020-08-20T17:19:59","slug":"theres-a-code-for-that-hugging-faces-sam-shleifer-talks-natural-language-processing","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/08\/20\/theres-a-code-for-that-hugging-faces-sam-shleifer-talks-natural-language-processing\/","title":{"rendered":"There\u2019s a Code for That: Hugging Face\u2019s Sam Shleifer Talks Natural Language Processing"},"content":{"rendered":"
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Hugging Face<\/a> is more than just an adorable emoji \u2014 it\u2019s a company that\u2019s demystifying AI by transforming the latest developments in deep learning into usable code for businesses and researchers.<\/p>\n

Research engineer Sam Shleifer<\/a> spoke with AI Podcast host<\/a> Noah Kravitz about Hugging Face NLP technology, which is in use at over 1,000 companies, including Apple, Bing and Grammarly, across fields ranging from finance to medical technology.<\/p>\n

EMBED PODCAST<\/b><\/p>\n

Hugging Face\u2019s models serve a variety of purposes for their customers, including autocompletion, customer service automation and translation. Their popular web application, Write with Transformer<\/a>, can even take half-formed thoughts and suggest options for completion.<\/p>\n

Schleifer is currently at work developing models that are accessible to everyone, whether they are proficient coders or not.<\/p>\n

In the next few years, Schleifer envisions the continued growth of smaller NLP models that power a wave of chat apps with state-of-the-art translation capabilities.<\/p>\n

Key Points From This Episode:<\/b><\/h2>\n