Generativ sun’iy intellekt promptlarida auditoriyani belgilash va terminologik aniqlik

This thesis examines the relationship between expressing the audience’s level of knowledge and explaining scientific terms in prompts given to generative artificial intelligence. Using analytical examples in English and Uzbek, the study differentiates between background preparation and language proficiency levels. Based on the premise that making text understandable is not equivalent to omitting terms, criteria such as conceptual clarity, sufficiency of explanation, and the application of knowledge to new examples are proposed to evaluate audience adaptation.

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