CHAIN OF THOUGHT

Chain of Thought (CoT) is a prompting technique that guides language models to solve complex problems by breaking them down into intermediate reasoning steps. This approach improves AI accuracy by providing structured logical deduction and makes AI decision-making more transparent and interpretable.

The technique allows models to process complex queries more effectively and can help smaller models outperform larger ones through better reasoning. Rather than jumping directly to conclusions, CoT prompting encourages the AI to show its work, much like a student solving a math problem step by step.

This pedagogical approach to AI interaction represents a shift toward more collaborative and understandable AI systems, where the reasoning process becomes as important as the final answer.