首页|University of California Reports Findings in Machine Learning (Single and Multi- Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo)
University of California Reports Findings in Machine Learning (Single and Multi- Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Berkeley, California, by NewsRx editors, research stated, “The rapid advancement in artificial intelli gence and natural language processing has led to the development of large-scale datasets aimed at benchmarking the performance of machine learning models. Herei n, we introduce ‘RetChemQA’, a comprehensive benchmark dataset designed to evalu ate the capabilities of such models in the domain of reticular chemistry.”
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