In the UAE's vision for AI, systems must run efficiently. What is the primary purpose of "AI Optimization"?, To make it look coolerTo increase the visual graphics of the software, To maximize the performance, speed, and accuracy of the AI model, To completely replace human engineers, To increase the energy consumption of data centers, When training an AI algorithm, a "Loss Function" acts like a digital teacher. What does a high loss score indicate?, The AI is highly accurate and ready for deployment, The AI has run out of cloud storage space, The AI has successfully memorized the dataset, The AI is making many errors and needs further optimization, If an AI agent performs perfectly on its training data but fails to solve new problems in the real world, it is suffering from:, Continuous Batching, Data Encryption, Hardware Malfunction, Overfitting (Over-training), To deploy an AI model on a smart device like a mobile phone or a drone, engineers use "Pruning". What does this computational process do?, It removes redundant and unnecessary connections to make the model lighter, It adds extra layers of complex data to the neural network, It translates the AI code into multiple human languages, It locks the AI model behind a secure cybersecurity firewall, "Quantization" optimizes an AI by reducing the mathematical precision of its data weights (e.g., from 32-bit to 8-bit). What is the main benefit?, It increases the physical size of the computer hardware, It saves memory storage and allows the AI to give faster responses, It makes the AI completely free to use, It deletes the AI's training history

Optimization in AI Systems

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