Welcome to our blog on “Reinforcement Learning from Human Feedback (RLHF) Explained Simply”!! Have you ever wondered how computers can learn to do tasks better over time, just like we do? In this blog, we’ll explore a fascinating technique called Reinforcement Learning from Human Feedback (RLHF). We’ll explain it in simple terms, using everyday examples, so that even if you’re new to the world of technology, you can easily understand how it works. Whether you’re a tech enthusiast or just curious, this guide will help you see how computers can get better at tasks by learning from the feedback we give them. Let’s get started!!
You can read the complete blog using “Friend Link” in case you are not a member of medium yet!!
✍️What is Reinforcement Learning?
Imagine you’re teaching a dog to sit. You give the dog a treat every time it sits when you say “sit.” Over time, the dog learns that sitting when you say “sit” results in a reward (the treat). This is a simple example of reinforcement learning. In this case, the dog is the “agent,” sitting is the “action,” and the treat is the “reward.”