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
Prompt Engineering
The practice of designing effective inputs to get desired outputs from AI models.
Read moreAI Guardrails
AI guardrails are rules, filters, and checks that keep model inputs and outputs within safe, compliant, and on-brand bounds. They reduce harmful, off-topic, or inappropriate content without retraining the model.
Read moreRed Teaming
Red teaming in AI is the practice of deliberately challenging a system with adversarial prompts, edge cases, and misuse scenarios to find failures before bad actors do. It strengthens safety and reliability.
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