Intelligent Models and Their Role in Improving Computer Systems Performance Intelligent models are considered a fundamental pillar in the development of modern computer systems. They rely on artificial intelligence and machine learning techniques to analyze data and make decisions with high efficiency. These models contribute to improving computer system performance in terms of speed, accuracy, and reliability, making them essential in the development of intelligent applications and systems. Intelligent models utilize advanced algorithms such as artificial neural networks, deep learning models, decision trees, and predictive models. These models process large volumes of data and extract meaningful patterns, enabling computer systems to adapt to different conditions and continuously enhance their performance. The use of intelligent models helps optimize the management of computing resources, including processing power, memory, and energy, by predicting workloads and efficiently scheduling tasks. They also play a crucial role in reducing operational errors, improving system responsiveness, and enhancing user experience across various applications.