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Facebook’s Dynabench ‘Radically Rethinks AI Benchmarking’

In the ever-expanding world of computer hardware and software, benchmarks provide a robust method for comparing quality and performance across different system architectures. From MNIST to ImageNet to GLUE, benchmarks have also come to play a hugely important role in driving and measuring progress in AI research.

When introducing any new benchmark, it’s generally best not to make it so…

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