After fine-tuning a foundation model to summarize support tickets, a team runs the model on a held-out test set and records ROUGE scores to judge output quality. Which stage of the foundation model lifecycle are they performing?
Evaluation
Data selection
Pre-training
Deployment
Running a fine-tuned model on unseen (held-out) data and inspecting quantitative metrics such as ROUGE is part of the evaluation stage. Evaluation measures whether the model meets quality and business requirements before any production deployment. Data selection happens earlier when choosing training and test data, pre-training occurs before fine-tuning, and deployment comes after satisfactory evaluation results.
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