A gradient tape is a tool used in machine learning to record operations for automatic differentiation. In the context of generating a gradient tape, it typically involves creating a sequence of operations that represent a mathematical function or model. These operations are then used to compute gradients, which are essential for optimizing the model's parameters during training.