AI & Machine Learning

AI-Driven Research for Databases

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Researchers have introduced AI-Driven Research for Systems (ADRS) to automate database performance optimization using large language models. This method faces challenges in evaluating rapidly generated solutions but overcomes them by co-evolving evaluators with the solutions themselves. Through case studies, they show ADRS can discover algorithms that significantly outperform existing methods, paving the way for more efficient and automated code generation in complex data systems.

Read the full article at arXiv cs.AI (Artificial Intelligence)

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