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.