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Learn to build an automated AI research framework that uses hyperparameter optimization to improve machine learning models, similar to techniques being explored by top AI labs.
Learn how to implement automated hyperparameter optimization for AI model training, demonstrating how systems can find improvements that human researchers might miss.
Learn how to build an autonomous machine learning research loop using Andrej Karpathy's AutoResearch framework in Google Colab, automating hyperparameter discovery and experiment tracking.
