How AI works in Super Simple Terms!!!

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A beginner-friendly explanation of how AI works, using a simple linear regression analogy to build intuition. Covers how prompts are converted to numbers, how a model generates words one at a time, what 'parameters' mean in the context of large models like ChatGPT or DeepSeek, how training works by iteratively fitting a shape to trillions of data points, and how alignment fine-tunes a pre-trained model to respond to real-world prompts. The three core ideas: AI fits a complex equation to massive data, training is a step-by-step iterative process, and alignment adapts a base model to specific tasks.

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