Architecting intelligent systems demands a deep understanding of both the theoretical foundations of AI and the real-world challenges involved. This entails carefully selecting appropriate algorithms, structures, and training to create systems that can learn from input and accomplish complex tasks. A key factor of this methodology is ensuring the