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Understanding Optimization in AI: Techniques, Evolution, and Future Prospects
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Understanding Optimization in AI: Techniques, Evolution, and Future Prospects

Optimization lies at the heart of artificial intelligence, enabling models to refine parameters, reduce errors, and adapt to complex tasks. Tracing its roots from early mathematics and linear programming to modern techniques like Adam and neural architecture search, this report explores how optimization drives AI progress, industry applications, and emerging future directions.

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