Weights & Biases

Weights & Biases (W&B) provides tools for machine learning practitioners to track experiments, manage datasets, and visualize model performance. It serves as a central hub for MLOps, enabling teams to log metrics, hyperparameters, and model artifacts during the training process, compare different runs, and share results collaboratively. This platform is essential for data scientists, ML engineers, and research teams working on complex AI projects, helping them maintain reproducibility, debug models, and accelerate development cycles. W&B stands out by offering robust experiment tracking and visualization capabilities, simplifying the often chaotic process of ML development and fostering team collaboration for more efficient model iteration.