Fine-Tuning LLMs: A Comprehensive Tutorial

This story was originally published on HackerNoon at: https://hackernoon.com/fine-tuning-llms-a-comprehensive-tutorial. A hands-on guide to fine-tuning large language models, covering SFT, DPO, RLHF, and a full Python training pipeline. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llm-fine-tuning-tutorial, #supervised-fine-tuning-sft, #qwen-llm-fine-tuning, #llm-training-pipeline, #hugging-face-transformers, #fine-tuning-lora, #preference-optimization-dpo, #good-company, and more. This story was written by: @oxylabs. Learn more about this writer by checking @oxylabs's about page, and for more stories, please visit hackernoon.com. Training an LLM from scratch is expensive and usually unnecessary. This hands-on tutorial shows how to fine-tune pre-trained models using SFT, DPO, and RLHF, with a full Python pipeline built on Hugging Face Transformers. Learn how to prepare data, tune hyperparameters, avoid overfitting, and turn base models into production-ready specialists.