Building an agile AI research-to-production experience - GitHub Universe 2018





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Published on Nov 9, 2018

Presented by Yangqing Jia, Director, Facebook AI Infrastructure (Facebook).

One of the greatest advantages for leaders in AI innovation comes from the ability to quickly bring cutting-edge research to large-scale production. Earlier this year, Facebook announced the roadmap for PyTorch 1.0. Continuing in the open source spirit of its predecessors, PyTorch 1.0 is being developed completely in the open with contributors from major academic and industry research institutes, utilizing open source platforms and tools such as GitHub, Jenkins, Conda, and Python PIP. PyTorch 1.0 combines the scalability of Caffe2 with PyTorch’s flexible front end to create a multi-faceted deep learning system that delivers an accelerated end-to-end research-to-production experience. Come learn about PyTorch 1.0, and how it can help you embed AI into your workflow with strong GitHub community support.

About GitHub Universe:
GitHub Universe is a two-day conference dedicated to the creativity and curiosity of the largest software community in the world. Sessions cover topics from team culture to open source software across industries and technologies.

For more information on GitHub Universe, check the website:


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