Model lifecycle (pre‑training, fine‑tuning, deployment)

The stages through which a generative model progresses: pre‑training (initial large‑scale training on broad data), fine‑tuning (task- or domain‑specific adaptation using additional data or objectives), and deployment (operational use in services or products). The vision uses these phases to structure risk identification, documentation, and governance measures.