Abstract
Abstract—Artificial intelligence (AI) has rapidly advanced, leading to the development of AI systems that can generate solutions tailored to specific model architectures. This study focuses on comparing the accuracy and efficacy of AI-generated solutions to those created by human experts during model construction. While human-generated solutions are generally expected to be more accurate due to a better understanding of the underlying physics, AI-generated solutions may exhibit partial correctness. This study emphasizes the essential role of human expertise by analysing the benefits and drawbacks of AI systems in offering technical solutions for specific model architectures. Examining the interactions between AI-generated and
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