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Library/AI & ML/AI Engineering
Advanced Pro#ai-engineering

Catastrophic forgetting trong fine-tuning LLM là gì và cách khắc phục?

February 15, 2026

Quick summary

Catastrophic forgetting is the phenomenon where an LLM loses its general knowledge or pre-trained alignment after being fine-tuned on a specialized dataset. To mitigate this, engineers typically use Parameter-Efficient Fine-Tuning (PEFT/LoRA), mix in general data (Data Rehearsal), or apply distribution constraints like KL Divergence.

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