Uploaded May 2026 | Updated September 2026, 2 weeks ago

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Modern AI uses many versions of gradient descent to learn faster and avoid bad solutions.

Some methods change their step size dynamically, while others start from random locations to find better results. All of them build on one simple idea: follow the steepest downward slope.

Learn more about how AI works under the hood — check out parts 1 and 2 for more!

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