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Explained in plain English

How do AI models learn?

AI models learn by processing vast amounts of data, like text and images, to identify patterns and relationships. They use these patterns to make predictions or generate new content, similar to how Claude learns. This process, called 'training', is how they develop their advanced capabilities that other companies try to copy through 'distillation attacks'.

Stories that explain this

Anthropic claims preserved thinking in new models cut data harvesting by up to 99%

Questions this opens up

How do 'distillation attacks' work? What kind of data do AIs use? Who trains these AI models?

Related explainers

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