ReasonBorn is a novel subject-specific Small Language Model (SS-SLM) architecture engineered to achieve near-perfect domain mastery.
- Nested Chain-of-Thought: Hierarchical decomposition of reasoning into verifiable subproblems.
- Dual-Memory System: Separating episodic and semantic storage with provenance tracking.
- Continual Learning: Elastic weight consolidation with generative replay.
- System-Prompt Manager: Fine-grained operator control over reasoning modes.
- Differential Privacy: DP-SGD training for sensitive data.
pip install -e .See scripts/inference/inference_example.py for a basic usage example.