The document outlines 'Alice,' a local intelligence system that integrates multiple components beyond its core language model, Qwen. Alice operates on a 'KNOW → DO → LEARN IF NECESSARY → RETAIN → REUSE' principle, emphasizing the reuse of existing knowledge and circuits rather than redundant problem-solving. Its architecture includes a router, memory (SQLite), a 'Living Map' for knowledge and circuits, and learning mechanisms like Q-learning, distinguishing it from the Qwen model alone. AI
IMPACT Details the architecture of a local intelligence system, highlighting component integration and operational principles.
RANK_REASON This describes a specific system architecture and its components, not a new product release or significant industry event.
- Alice
- Qwen
- Qwen2.5-3B-Instruct Q4_K_M
- adaptateur_carte.py
- cartes.json
- DonjonSimpleEnv
- Living Map
- llama-server
- memory.py
- Q-learning
- routeur.py
- SQLite
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