AI and ML are based on training algorithms to detect patterns in data, gain insight, and trigger responses. They range from simple recommendations to complex content creation using vast datasets for text, images, and video.
AI workloads involve key phases such as training with varying degrees of human oversight, inference to leverage trained patterns, and deployment to applications. The execution of AI can resemble HPC processing or continuous real-time applications.
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