What do toddlers learning to walk and robots learning to cook soup have in common? In this episode, data scientist Steven Nord joins James to explore the fundamentals of reinforcement learning (RL)—a key concept in machine learning and artificial intelligence (AI)—and its real-world applications in predictive maintenance, automation, robotics, and AI-powered systems. They explain the differences between supervised learning, unsupervised learning, and reinforcement learning, and how models like ChatGPT use Reinforcement Learning from Human Feedback (RLHF) to improve performance and accuracy.

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