The training procedure for foundational representations in the framework involves three steps: (1) training using non-sensitive data and contrastive learning to link equipment traits with effectiveness metrics, (2) introducing rule verification incorporating constraint violation cases to guide convergence, and (3) using a scenario engine to generate mixed training samples while applying masking techniques to preserve task focus.

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• Person: Not available Organization: Nature
  The construction and refined extraction techniques of knowledge ...

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• The construction and refined extraction techniques of knowledge ... www.nature.com Nature via serper

Referenced by nodes (2)

• contrastive learning concept
• framework concept