QNLLM: A Neurologically-Inspired Continual Learning Language Model with Formal Invariants

Key Points

• QNLLM is a deterministic system that emphasizes task-bounded reasoning and interpretable design, ensuring reliable performance.
• Key features include formal invariants and proven non-regression guarantees for effective continual learning processes.
• Documentation highlights the foundational learning laws and specifications, while implementation code is not included.
• Potential applications span various domains where adaptable and interpretable language processing is required.