this may prove a major leap toward developing much stronger logic and reasoning algorithms that may provide a faster route to both solving the hallucination and alignment problems and getting us to agi. "The framework promises substantial enhancements in tackling challenging reasoning tasks. It demonstrates remarkable improvements, boasting up to a 32% performance increase compared to traditional methods like Chain of Thought (CoT). This novel approach revolves around LLMs autonomously uncovering task-intrinsic reasoning structures to navigate complex problems." here's the paper: [link] [comments] |