Building an agile AI research-to-production experience
CALL To Agility
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Apr 2023
To Inspire
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Embedding
Building an agile AI research-to-production experience
CALL To Agility
—
Apr 2023
EDITION EDITORIAL & OVERVIEW
Embedding
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48
CALL To Agility
-
Apr 2023
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Presented by Yangqing Jia, Director, Facebook AI Infrastructure
One of the greatest advantages for leaders in AI innovation comes from the ability to quickly bring cutting-edge research to large-scale production.
In 2018, 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.
Previous Article
Next Article
Presented by Yangqing Jia, Director, Facebook AI Infrastructure
One of the greatest advantages for leaders in AI innovation comes from the ability to quickly bring cutting-edge research to large-scale production.
In 2018, 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.
Previous Article
Next Article
Presented by Yangqing Jia, Director, Facebook AI Infrastructure
One of the greatest advantages for leaders in AI innovation comes from the ability to quickly bring cutting-edge research to large-scale production.
In 2018, 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.
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