As artificial intelligence (AI) reaches the peak of its popularity, researchers have warned the industry might be running out of training data – the fuel that runs powerful AI systems.
This could slow down the growth of AI models, especially large language models, and may even alter the trajectory of the AI revolution.
But why is a potential lack of data an issue, considering how much there are on the web? And is there a way to address the risk?
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