I've added a new section to the ML-Compendium focusing on Machine Unlearning, which delves into methods for models to forget information. This section comprises articles, code snippets, datasets, and more.
Machine Unlearning represents the next phase in the lifecycle of a model, crucial for scenarios where retraining the foundational model is cost-prohibitive. For instance, it becomes necessary when there's a need to selectively remove information from the model. This often arises in situations where reducing business liability is required, such as when the model retains sensitive information that could potentially impact business operations.