OpenAI Technical Infrastructure and Methods

7 articles • Started over 10 years ago • Last updated over 8 years ago

OpenAI published a series of technical papers and infrastructure updates between June 2016 and February 2018 focused on advancing machine learning capabilities. The organization released work on generative models, deep learning infrastructure, and GPU optimization techniques designed to improve computational efficiency. OpenAI also explored interpretability in machine learning, entity disambiguation methods, and hosted a self-organizing technical conference. The company launched Distill, a platform for interactive machine learning communication, while continuing to develop the foundational tools and methodologies supporting its research initiatives.

Thursday, June 16, 2016

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Generative models OpenAI Blog •

Monday, August 29, 2016

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Infrastructure for deep learning OpenAI Blog •

Thursday, October 13, 2016

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Monday, March 20, 2017

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Distill OpenAI Blog •

Wednesday, December 06, 2017

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Block-sparse GPU kernels OpenAI Blog •

Wednesday, February 07, 2018

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Thursday, February 15, 2018