49. End-to-end generative AI application workflow

Take a generative AI application from user need to deployed service: define success criteria, select a model, prototype prompts or retrieval, evaluate risks, build the interface, test, release, monitor, and iterate. The workflow includes fallbacks, human review, cost controls, and incident planning.

Generative AI

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