LLM fine-tuning shifts to PEFT methods as enterprises chase efficiency
Parameter-Efficient Fine-Tuning (PEFT) techniques like LoRA and QLoRA now dominate enterprise LLM adaptation strategies in 2026, dramatically cutting compute costs versus full model retraining. The shift matters for organizations deploying domain-specific models without Silicon Valley budgets.