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Unraveling Artificial Intelligence Evolution
Exploring the evolution of artificial intelligence models in recognizing objects like cats and dogs, by illustrating the layered measurement techniques used in AI systems. The chapter discusses the iterative process of refining AI models and the analogies employed to explain their functionality, likening it to layers of a cake. Emphasizing the empirical and intuitive nature of AI learning processes, it also touches on training AI models through capturing tests and the generation of images based on specific prompts.