by Amit Shekhar · 1 June 2026
Continual Learning in LLMs
Continual Learning in LLMs. We will understand what it is, why we need it, the big problem of catastrophic forgetting, the approaches used to solve it, and where it is used in the real world.
Read on Outcome School ↗then come back to lock it in
Before you read, guessWhat issue causes models to lose prior knowledge when acquiring new information?
Ten seconds, a guess, then read — a wrong guess still makes the answer stick.
What this article covers
- What is Continual Learning?
- Why do we need Continual Learning in LLMs?
- The big problem: Catastrophic Forgetting
- Approaches to Continual Learning in LLMs
- An alternative: Retrieval-Augmented Generation (RAG)
- Challenges in Continual Learning
- Real-world use cases
- Summary
The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.