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The use of primitives in algorithm design helps remove ambiguities by providing clear and well-defined building blocks for constructing algorithms. Primitives are basic operations or data types that have precise definitions and behaviors, reducing the risk of misinterpretation or confusion. By breaking down complex tasks into simpler primitives, algorithms become more modular and easier to understand, analyze, and implement. This approach also enhances the algorithm's efficiency and maintainability by promoting reusability and standardization.

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