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Answer: AI workload types
To match the types of AI workloads to the appropriate scenarios, you need to understand the workload types and their uses. For example, workload types like computer vision can be used for image recognition scenarios, natural language processing can be applied for text analysis scenarios, and machine learning can be used for prediction-related scenarios. By aligning the scenario with the appropriate AI workload type, you ensure proper application of each technology.
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Associate AI workload types with their corresponding scenarios using a drag-and-drop method, following the rule that each workload type can be used once, more than once, or not at all.
A
AI workload types
B
Applicable scenarios
C
Drag-and-drop method
D
Usage rules for workload types
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