Weights & Biases (W&B) is a tool that helps data scientists and ML engineers track, understand, and improve their experiments. It provides a consistent way to log and analyze machine learning activity, which can help identify problems and optimize the accuracy and efficiency of your systems. Weights & Biases is particularly useful for managing and optimizing machine learning experiments, as it allows you to track what is happening at every stage.