Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: The integration of Large Language Models (LLMs) such as Microsoft Copilot in K-12 programming education has demonstrated the potential to alleviate cognitive load and enhance self-efficacy ...

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Can you chip in? This year we’ve reached an extraordinary milestone: 1 trillion web pages preserved on the Wayback Machine. This makes us the largest public repository of internet history ever ...