Category Archives: Large language models

Chain-of-Thought (CoT) prompting is a technique where asking questions, rather than issuing direct instructions activates a model’s full internal reasoning pathway. The key insight from the original framing is that instructions skip steps 1–3, jumping straight to synthesis, while questions force the model to work through the entire reasoning chain. What Chain-of-Thought Actually Is Chain-of-ThoughtContinueContinue reading “Chain-of-Thought (CoT) Prompting”