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What AI researchers can learn from the NFL Combine


How useful is your AI? It’s not a simple question to answer. If you’re trying to decide between Google‘s Translate service or Microsoft’s Translator, how do you know which one is better? If you’re an AI developer, there’s a good chance you think the answer is: benchmarks. But that’s not the whole story. The big idea Benchmarks are necessary, important, and useful within the context of their own domain. If you’re trying to train an AI model to distinguish between cats and dogs in images, for example, it’s pretty useful to know how well it performs. But since we can’t…

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