Solving the data crisis in generative AI: Tackling the LLM brain drain
Today’s generative AI models, particularly large language models (LLMs), rely on training data of an almost unimaginable scale and terabytes of text sourced from the vast expanse of the internet. While the internet has long been viewed as an infinite resource with billions of users contributing new content daily, researchers are beginning to scrutinise the impact of relentless data consumption on the broader information ecosystem.
A critical challenge is emerging. As AI models...
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