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Indian Lifestyle

The Complete AI Lifecycle: Stages, Data Flows, and Why Models Fail Over Time

Law Web · · 66 views

 The AI lifecycle is an iterative, end-to-end process of planning, developing, deploying, monitoring, and retiring artificial intelligence systems. Unlike traditional software development, it is cyclical and heavily data-dependent because models can degrade when real-world conditions change. For student appearing for any exam, mastering these stages is essential for effective risk management

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