Low-Rank Adaptation (LoRA) injects trainable low-rank matrices into model layers so fine-tuning can be stored and swapped efficiently.
AI Glossary
LoRA
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Low-Rank Adaptation (LoRA) injects trainable low-rank matrices into model layers so fine-tuning can be stored and swapped efficiently.
Definition
Plain English explanation
It is a popular PEFT method that packs specialization into small adapter files.
Related glossary terms
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Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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