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fine‐tuning

Definitions:

  In machine learning, a training step that starts from a pre‐trained model (sometimes called a foundation model) and adds task‐or domain‐specific information.
Sources:
NIST SP 800-226

  The process of adapting a pre-trained model to perform specific tasks or spe­cialize in a particular domain. This phase follows the initial pre-training phase and involves further training the model on task-specific data. This is often a supervised learning task.
Sources:
NIST AI 100-2e2025 under fine-tuning