GLOSSARY TERM
What is Parameter-Efficient Fine-Tuning?
Methods to adapt large models by training only a small subset of parameters.
PEFT techniques, such as LoRA or prefix-tuning, inject minimal trainable ranks into a frozen foundation model. They achieve parity with full fine-tuning while drastically slashing VRAM requirements and catastrophic forgetting.
Efficient Adaptation
Execute PEFT paradigms effortlessly to optimize your specific enterprise tasks.