Preference Alignment & RLHF in LLMs Explained with Huggingface Practical | RLHF, PPO Part-3

In this video, we will deeply understand Preference Learning, Preference Alignment, and Preference Tuning in Large Language Models (LLMs). We will explore why Supervised Fine-Tuning (SFT) alone is not enough and how modern LLMs like ChatGPT use RLHF (Reinforcement Learning from Human Feedback) for better alignment with human preferences. Topics Covered in This Video: ✅ What is Preference Learning? ✅ What is Preference Alignment / Preference Tuning? ✅ Why do we need Alignment in LLMs? ✅ Problems with only SFT (Supervised Fine-Tuning) ✅ All Preference Alignment Methods * RLHF * DPO * ORPO * GRPO * RLAIF * Constitutional AI Reinforcement Learning (RL) Fundamentals: ✅ Introduction to RL ✅ RL Evolution Timeline ✅ Difference Between Supervised Learning vs Reinforcement Learning ✅ Q-Learning Explained ✅ Deep Q Network (DQN) Explained ✅ PPO (Proximal Policy Optimization) Explained ✅ Q-Learning vs DQN vs PPO RLHF Deep Dive: ✅ What is RLHF? ✅ PPO in RLHF ✅ Reward Model Explained ✅ Human Feedback Pipeline ✅ RLHF Architecture Practical Implementation: ✅ Practical of Reinforcement Learning ✅ RLHF Practical with Custom Dataset ✅ Hands-On Coding Implementation This video is perfect for: ✔️ Generative AI Engineers ✔️ Machine Learning Engineers ✔️ LLM Engineers ✔️ AI Researchers ✔️ LangChain & Agentic AI Developers ✔️ Students preparing for AI Interviews If you want to master LLM Fine-Tuning, RLHF, PPO, and Preference Optimization, this video will give you a strong foundation with both theory and practical implementation. 📌 Subscribe for more videos on: LLM Fine-Tuning, RLHF, Quantization, Hugging Face, LangChain, Agentic AI, RAG, AI Systems, and Production-Grade AI Projects. Code: https://github.com/sunnysavita10/Complete-LLM-Finetuning/tree/main/LLM%20Fine-Tuning-26-RLHF #RLHF #PreferenceAlignment #LLM #PPO #ReinforcementLearning #DPO #ORPO #Qlearning #DQN #LLMFineTuning #GenerativeAI #MachineLearning #SunnySavita #AgenticAI #LangChain #ArtificialIntelligence 📌 Key