Parameter-efficient fine-tuning (PEFT) adapts large models by updating a small subset of parameters or adapters rather than all weights.
AI Glossary
Parameter-Efficient Fine-Tuning
Coverage in development
Parameter-efficient fine-tuning (PEFT) adapts large models by updating a small subset of parameters or adapters rather than all weights.
Definition
Plain English explanation
You specialize a big model cheaply by training small add-on pieces instead of rewriting the whole network.
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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