Mini toolsDefinition
AI systems that can learn continuously from new data while retaining previous knowledge.
Detailed Explanation
Continual learning enables AI systems to adapt to new information without catastrophic forgetting of previously learned tasks. This involves techniques like elastic weight consolidation, replay buffers, and dynamic architecture adaptation.
Use Cases
Evolving chatbot systems, Adaptive recommendation engines, Progressive robot skill acquisition
