A very simple and illustrative way, free of math and technical jargon, to explain how ‘reinforcement learning’ for AI systems works, as compared with ‘imitation learning’, and how this kind of learning opens the way to agentic AI (an AI with reasoning, planning, and action-taking abilities) which is the next era of AI. In essence, ‘reinforcement learning’ allows AI to ‘teach itself’ deeper reasoning behaviors, including reflection and problem-solving strategies.

A clear and concise explanation of deep learning and how its architecture has been inspired by the human brain. The article describes how deep learning powers modern technologies like translation, recommendations, and self-driving cars, and highlights its advantages over traditional machine learning.