LLM Fine-Tuning 16: Preference Alignment & Preference Training in LLMs with RLHF, RLAIF, DPO, LoRA

Preference Alignment / Preference Training Explained (Full Guide) In this video, I explain how Large Language Models learn human preferences using advanced techniques like RLHF, RLAIF, DPO, and LoRA adapters. This is a complete beginner-to-advanced breakdown with math, formulas, datasets, examples, and practical implementation. You’ll understand: ✔ What is Preference Alignment / Preference Training? ✔ Why modern LLMs require Preference Alignment for safety, helpfulness & honesty ✔ Real Human Preference Datasets (chosen vs rejected samples) ✔ RLHF Pipeline (Reward Model + PPO) ✔ RLAIF (AI-fe…