Architecting Intelligent Systems
Architecting intelligent systems demands a deep comprehension of both the abstract foundations of AI and the applied challenges posed. This entails carefully choosing appropriate algorithms, architectures, and datasets to create systems that can adapt from data and execute complex tasks. A key factor of this methodology is ensuring the reliability