Continuous Learning AI: How to Train Models That Learn Without Forgetting Previous Knowledge
Continuous Learning AI: How to Train Models That Learn Without Forgetting Previous Knowledge Continuous Learning AI: How to Train Models That Learn Without Forgetting As an AI research scientist who has published multiple papers on lifelong learning systems at NeurIPS and ICML, I've developed specialized techniques to overcome one of neural networks' biggest limitations: catastrophic forgetting. This 4000+ word guide reveals the cutting-edge methods that enable AI models to learn continuously while retaining previous knowledge - just like human brains do. The Challenge of Catastrophic Forgetting Research Insight: In my lab's experiments, standard neural networks forget up to 80% of previous task accuracy when trained on new information. This "catastrophic forgetting" phenomenon fundamentally limits AI syst...
