<ul><li>Neural networks in artificial intelligence function like a digital brain, with each cell analyzing information and making decisions.</li><li>AI learns by identifying patterns, such as recognizing features like whiskers and tails in cat photos, instead of memorizing images.</li><li>There are three main learning approaches for AI: supervised learning (with examples and answers), unsupervised learning (with data but no answers), and reinforcement learning (rewarding or punishing choices).</li><li>AI, like humans, improves by making mistakes and learning from them, and it requires guidance (a teacher), data (a classroom), and training (homework) to learn effectively.</li></ul>

The Secret Sauce Behind How AI Really Learns (Explained Like You’re 15)

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