23. What is RLHF? Reinforcement Learning from Human Feedback Explained In Hindi
About this lesson
How do AI models like ChatGPT learn to be so helpful and safe? In this video, we break down Reinforcement Learning from Human Feedback (RLHF)—the essential technique used to align large language models (LLMs) with human values. We dive deep into the technical workflow, covering everything from initial pre-training to advanced policy optimization. What you’ll learn in this video: What RLHF is and why it's better than supervised learning alone. Step 1: Pre-training – The foundation of any LLM. Step 2: Human Feedback Collection – How human ranking and rating shape AI behavior. Step 3: Reward Modeling – Building a system that predicts what humans want. Step 4: Reinforcement Learning – Fine-tuning the model using Policy Optimization (PPO). Step 5: Iteration – The continuous process of improving AI alignment. Whether you are an AI student, a developer, or just curious about how modern LLMs are built, this breakdown will give you a clear understanding of the RLHF pipeline. Don't forget to Like, Subscribe, and hit the Notification Bell for more AI and Machine Learning deep dives!
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