Uploaded May 2026 | Updated September 2026, 2 weeks ago

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What does climbing down a mountain in the dark have to do with AI?

This simple analogy explains gradient descent: one of the core ideas behind machine learning and neural networks. By following the steepest downward slope step by step, AI models learn how to minimize errors and improve predictions.

Learn more about how AI works under the hood — check out part 2 for more!

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