adaptai / platform /aiml /README.md
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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.