How can developers fine-tune large language models efficiently on Hugging Face?

Pick a solid base model, prepare a clean dataset for your use case, train a LoRA adapter, then evaluate the outputs before deploying. So, I’d start with LoRA fine-tuning using Hugging Face PEFT.