AI Glossary
Chain of Thought
Understanding AI Terminology
A prompting technique that asks AI to show its reasoning step by step.
What It Means
Chain of Thought (CoT) prompting is a technique that improves AI reasoning by asking the model to show its step-by-step thinking process before providing a final answer. This explicit reasoning helps with math problems, logic puzzles, and complex analysis. Simply adding 'Let's think step by step' or 'Explain your reasoning' can significantly improve accuracy on challenging tasks.
Examples
- 'Solve this math problem. Show your work step by step.'
- 'Think through this logic puzzle carefully before answering.'
- 'Let's approach this problem systematically.'
How This Applies to ARKA-AI
ARKA-AI's advanced routing can detect when chain-of-thought reasoning would help and optimize model selection accordingly.
Frequently Asked Questions
Common questions about Chain of Thought
Use CoT for math, logic puzzles, multi-step problems, and analysis tasks. It's less necessary for simple factual questions or creative writing.
Yes, because the model outputs its reasoning. However, the accuracy improvement often justifies the additional cost for complex tasks.
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