Architecting intelligent systems demands a deep grasp of both the theoretical foundations of AI and the applied challenges presented. This implies carefully determining appropriate algorithms, frameworks, and information to build systems that can evolve from data and execute complex tasks. A key factor of this methodology is securing the reliabili