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Recursive Micro-Networks for Efficient Reasoning

Engineer lightweight neural architectures that iterate on their own outputs to rival larger models in structured reasoning tasks.

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8. MLOps and Monitoring

Managing recursive architectures in production demands diligent MLOps practices.

  • Deployment Pipelines: Package controller, reasoning core, verifier, and tool integrations as modular services. Use version control for each component.
  • Shadow Testing: Before full rollout, run micro-networks in shadow mode alongside existing solutions to collect comparative data.
  • Telemetry Collection: Capture per-iteration logs, step counts, error types, and escalation events.
  • Alerting: Trigger alerts for spikes in convergence failures, latency outliers, or anomalous critique patterns.
  • Continuous Fine-Tuning: Schedule periodic updates using fresh reasoning traces, especially after significant domain shifts.
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