Reasoning Logic

Standard “Chain-of-Thought” (CoT) prompting is often insufficient for problems that exceed a model’s immediate “System 1” processing capacity—such as high-dimensional planning, multi-step symbolic logic, or

The short answer is yes. The long answer involves understanding the mechanics of In-Context Learning (ICL). When you construct a prompt without examples, you are

The fundamental limitation of a standard Large Language Model (LLM) is that it operates as a “System 1” thinker: it relies on rapid, intuitive pattern