Architecting Intelligent Systems
Architecting intelligent systems requires a deep understanding of both the conceptual foundations of AI and the real-world challenges posed. This involves carefully selecting appropriate algorithms, frameworks, and datasets to develop systems that can adapt from input and execute complex tasks. A key element of this approach is ensuring the robust