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ChatGPT & LLM AI Engineering Guide• 5 min read
Chain-of-Thought & Step-by-Step Reasoning
Unlock superior multi-step logic and mathematical accuracy using Chain-of-Thought (CoT) prompting.
Why Step-by-Step Thinking Works
Because autoregressive language models predict token by token, asking them for an immediate answer forces them to guess without intermediate calculation space.
Instructing the model to "Think step by step" or decompose the problem allows it to generate tokens that serve as scratchpad working memory.
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Test Yourself With Exercise
What famous phrase unlocks Chain-of-Thought reasoning in foundational language models?