👉 Forgot engineering, also known as "forgetting" or "catastrophic forgetting," is a phenomenon in machine learning where a neural network, after being trained on new tasks or data, forgets previously learned information. This occurs because neural networks have a limited capacity to store and update knowledge, leading to a loss of performance on tasks they were previously proficient at. To mitigate this, engineers employ various techniques such as regularization, rehearsal, and architectural modifications to help the network retain and transfer knowledge effectively across different tasks.
