- 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.
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.
- Telemetry Vocabulary: Specific technical vocabulary for internal system monitoring is still being expanded in the training set.
- UI Updates: Screenshots in this repo reflect the previous iteration (v22); updated visuals for the GRPO-era interface are forthcoming.
- Examine
training_results.mdto understand the new GRPO architecture and results. - Review
Grant One-Pager.mdfor the current funding and research roadmap. - Reach out via
meta/CONTACT.mdfor collaboration, grant discussions, or research partnerships.