Concepts & capability filters
Parameter-Efficient Fine-Tuning
PEFT (Parameter-Efficient Fine-Tuning) encompasses methods to adapt pre-trained LLMs for specific tasks by updating a small subset of parameters, avoiding full fine-tuning's compute costs.
- Category
- Not classified
- Difficulty
- Not classified
- Aliases
- None tracked
- Last reviewed
- 2026-07-02
Key facts
- Approaches like adapters or prompt tuning inject task-specific modules, enabling scalability to massive models.