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Constrained Training Manifolds

Stabilize large-model training by restricting weight updates to curated manifolds that align with desired behaviors and safety envelopes.

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Action checklist

  • Identify desired properties (stability, efficiency, safety) that manifolds can safeguard.
  • Select manifold parameterizations aligned with model architecture and deployment goals.
  • Integrate projection or penalty mechanisms into training loops and tune hyperparameters accordingly.
  • Instrument diagnostics to monitor constraint adherence and training stability.
  • Document alignment and efficiency gains to justify continued manifold investment.
Section 8 of 9
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