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NovaLiveSystem Showcase — November 2025 Snapshot

Highlights

  • GRPO Breakthrough: First successful reinforcement learning run (nova_grpo_v1) on consumer hardware (RTX 4050).
  • Inference Success: 10/10 pass rate on holdout probes following RL training.
  • Architecture Evolution: Transitioned to a 3-stage pipeline (Base → SFT → GRPO) for cleaner separation of capability and alignment.
  • Control Data: 7,700+ validated samples across grounding, discipline, and guardrail categories.

Included Artifacts

  • README.md — public-facing architecture brief and collaboration context.
  • training_results.md — checkpoint metrics, drift analysis, and next-step plan.
  • screenshots/*.png — redacted validation captures (historical v22 era; new UI captures pending).
  • meta/ — contact details and repository scope notes.

Known Gaps

  1. Telemetry Vocabulary: Specific technical vocabulary for internal system monitoring is still being expanded in the training set.
  2. UI Updates: Screenshots in this repo reflect the previous iteration (v22); updated visuals for the GRPO-era interface are forthcoming.

Suggested Next Steps for Reviewers

  • Examine training_results.md to understand the new GRPO architecture and results.
  • Review Grant One-Pager.md for the current funding and research roadmap.
  • Reach out via meta/CONTACT.md for collaboration, grant discussions, or research partnerships.