Large language models, a type of AI that analyzes text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a study led by UCL (University College London) researchers.
The findings, published in Nature Human Behaviour, demonstrate that large language models (LLMs) trained on vast datasets of text can distill patterns from scientific literature, enabling them to forecast scientific outcomes with superhuman accuracy.
The researchers say this highlights their potential as powerful tools for accelerating research, going far beyond just knowledge retrieval.
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