In machine learning, the "head" and "torso" metaphor is used to describe different parts of a model's pipeline. The "torso" is the main bulk of the neural network, which processes input data and extracts general features, like understanding language or context. The "head" is the final specialized layer that takes those features and performs the specific task, like outputting words or scores.