Optimizing LLM Fine-Tuning with PEFT

Article

Fine-tuning large language models has traditionally been prohibitively expensive—requiring massive GPU clusters and days of training. Parameter-Efficient Fine-Tuning (PEFT) techniques have revolutionized this landscape, enabling organizations to adapt powerful models to specialized tasks with a fraction of the computational cost and time.