task2

task2 is a generic label used across disciplines to denote the second task in a sequence, a secondary objective in a multi-task framework, or a downstream process that follows an initial task1. The precise definition depends on the domain and the surrounding naming conventions.

In machine learning, task2 is often the auxiliary objective in multi-task learning, where a model is trained to perform task1 and task2 jointly; a combined loss function is optimized to balance both goals. For example, in natural language processing, task1 might be part-of-speech tagging and task2 named entity recognition; in computer vision, task1 could be image classification and task2 could be localization.

In data processing pipelines, task2 typically follows task1 and depends on its outputs. It may perform validation, data enrichment, or feature transformation that relies on the initial extraction results.

In software or workflow management, task2 can be a background operation triggered after the completion of task1, such as notifying stakeholders, updating downstream services, or archiving results.

In datasets or benchmarks, task2 may test a different aspect or provide a secondary annotation task, serving to evaluate model generalization beyond the primary objective. Best practices include documenting the definition of task2 within system documentation, enabling consistent interpretation across teams, and aligning its requirements with project goals. See also task1, task3, multi-task learning, workflow management.