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The researchers tested five different LLMs and discovered that GPT-4 performed the best, finding common functions of curated gene sets from a popular genomics database with an accuracy rate of 73%.
Large language models a form of artificial intelligence that analyzes text are better than human experts at predicting the outcomes of proposed neuroscience investigations.
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