{"id":2672831,"date":"2023-05-23T15:59:39","date_gmt":"2023-05-23T19:59:39","guid":{"rendered":"https:\/\/wordpress-1016567-4521551.cloudwaysapps.com\/plato-data\/understanding-reinforcement-learning-from-human-feedback\/"},"modified":"2023-05-23T15:59:39","modified_gmt":"2023-05-23T19:59:39","slug":"understanding-reinforcement-learning-from-human-feedback","status":"publish","type":"station","link":"https:\/\/platodata.io\/plato-data\/understanding-reinforcement-learning-from-human-feedback\/","title":{"rendered":"Understanding Reinforcement Learning from Human Feedback"},"content":{"rendered":"
Reinforcement Learning from Human Feedback (RLHF) is where machines learn and grow with a little help from their humans! Imagine training robots to dance like pros, play video games like champions, and even assist in complex tasks through interactive and playful interactions. In this article, we dive into the exciting world of RLHF, where machines become our students, and we become their mentors<\/a>. Get ready to embark on a thrilling adventure as we unravel the secrets of RLHF and uncover how it brings out the best in humans and machines. <\/p>\n RLHF is an approach in artificial intelligence and machine learning that combines reinforcement learning techniques with human guidance to improve the learning process. It involves training an agent or model to make decisions and take action in an environment while receiving feedback from human experts. The input humans can be in the form of rewards, preferences, or demonstrations, which helps guide the model\u2019s learning process. RLHF enables the agent to adapt and learn from the expertise of humans, allowing for more efficient and effective learning in complex and dynamic environments.<\/p>\nTable of contents<\/h2>\n<\/div>\n
What is RLHF?<\/h2>\n