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Continual Learning Futures

Chart pathways beyond static language models by integrating continual learning, hybrid architectures, and on-the-job adaptation.

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Action checklist

  • Assess where static models fall short (fresh knowledge, personalization, domain shifts).
  • Prototype hybrid architectures that balance plasticity and stability through modularity or memory augmentation.
  • Establish continual learning workflows with data intake, safety gating, deployment, and monitoring.
  • Invest in evaluation tools that track behavior over time, including safety regressions.
  • Document ethical, governance, and regulatory considerations before scaling adaptive systems.
Section 9 of 10
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