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# Elizabeth AIML Platform — Nova R&D (Soul + Mask + Fast‑Weights)
This repo contains the Elizabeth AIML platform codebase and the Nova R&D blueprint. The goal is a single lifelong agent with identity anchored in weights (Soul), safe real‑time plasticity (Mask ≤5%), and immediate stickiness via Fast‑Weights — with rigorous receipts, eval gates, and rollback.
Key locations:
- `projects/elizabeth/blueprint/`: R&D blueprint, ADRs, experiments, metrics, receipts.
- `mlops/`: gateway, tools, receipts, sync scripts.
- `etl/`: pipelines and data utilities.
- `models/`: model artifacts (do not commit large binaries to GitHub). Use Hugging Face for artifacts.
Sync policy:
- Code → GitHub `adaptnova/e-zeropoint` (private). Branches: `main`, `develop`.
- Artifacts → Hugging Face `LevelUp2x/e-zeropoint` (private). LFS for weights; publish via `mlops/sync/publish_hf.sh`.
Auth & secrets:
- GitHub: authenticated via `gh` CLI (see `gh auth status`).
- Hugging Face: set `HUGGINGFACE_HUB_TOKEN` in `/data/adaptai/secrets/dataops/.env`.
Receipts & Ops:
- Per‑turn receipts under `projects/elizabeth/blueprint/13_receipts/` and Slack summaries if configured.
- See `mlops/receipts/collect_receipt.py` and `mlops/slack/post_update.py`.
Contribution:
- Python 3.10+, type hints on new functions, logging over print. Tests under `etl/` with `pytest`.
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