A hands-on guide to fine-tuning large language models, covering SFT, DPO, RLHF, and a full Python training pipeline.

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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.