ModelRefs / Continual Learning — AI Glossary
Continual Learning — AI Glossary
Training a model on a sequence of tasks or data distributions without catastrophic forgetting of previously acquired knowledge.
Overview
Continual learning (CL) methods—elastic weight consolidation, progressive neural networks, experience replay, LoRA-based parameter isolation—aim to incrementally update models as new data arrives. Relevant to maintaining model freshness for RAG-free knowledge updates and domain adaptation in production.
Reference details
| Topic | training |
|---|---|
| Also known as | lifelong learning, incremental learning |
| Last reviewed | 2026-06-24 |
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Frequently asked questions
What is Continual Learning?
Training a model on a sequence of tasks or data distributions without catastrophic forgetting of previously acquired knowledge.
Is Continual Learning the same as lifelong learning?
Yes — lifelong learning, incremental learning are common aliases for Continual Learning.
What concepts are related to Continual Learning?
Closely related concepts include catastrophic forgetting, domain adaptation, transfer learning.