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What role does Weights & Biases (W&B) play in John Mosquera's AI projects?
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John Mosquera uses Weights & Biases (W&B) to track experiments, visualize model performance, and optimize hyperparameters in his AI projects. This tool allows him to monitor training processes, compare different model configurations, and ensure reproducibility. By combining W&B with libraries like MLflow, he ensures efficient experiment management and streamlined workflows. Weights & Biases (W&B) plays a key role in John Mosquera's AI projects by enabling experiment tracking, visualization, and hyperparameter optimization.