Chain of Thought
Chain of thought is a prompting style where the model is asked to show its reasoning step by step before giving a final answer.
In Simple Terms
Think of it as asking someone to show their work on a math test instead of just the final number.
Detailed Explanation
Chain-of-thought (CoT) prompting improves accuracy on math, logic, and multi-step tasks by having the model verbalize its reasoning. You ask for steps like Let us think step by step or Show your work. When to use it: for complex reasoning, calculations, or when you need to debug or trust the answer. Common mistakes: using CoT for simple lookup tasks where it adds cost and latency, or not asking explicitly for steps so the model skips them.
Related Terms
Explainable AI (XAI)
Explainable AI (XAI) is the field of methods and techniques that make AI model decisions interpretable or understandable to humans. It answers why a model gave a certain output so users can trust and debug it.
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