How Meta Uses ResNet
7 engineering articles about ResNet from Meta's engineering team
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The article introduces the Parameter Vulnerability Factor (PVF), a new metric designed to assess AI systems' vulnerability to silent data corruptions (SDCs) in model parameters.
Xun Jiao
7 min read
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The article discusses advancements in floating point arithmetic aimed at improving the efficiency of AI hardware.
The article discusses how Facebook Marketplace utilizes artificial intelligence to enhance user experiences for buying and selling items.
Lu Zheng
10 min read
Includes Code
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The article discusses Rosetta, a large-scale machine learning system developed by Facebook to understand text in images and videos.
Viswanath Sivakumar
14 min read
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The article discusses the expansion of the Open Neural Network Exchange (ONNX) format, which enhances interoperability among various AI frameworks, thereby accelerating AI development.
The article introduces Big Basin, Facebook's next-generation AI hardware designed to enhance the performance of AI services.
Kevin Lee
5 min read
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The article discusses Facebook's end-to-end refresh of its server hardware fleet to enhance performance and scalability for its applications and services.
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