Why does Chain of Thought improve accuracy?
It allows the model to generate intermediate reasoning tokens, which serve as context for subsequent prediction steps.
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More FAQs in Understanding Chain of Thought Prompting for Complex Logic
Triggering reasoning without examples, simply by adding instructions like 'think step-by-step' to the prompt.
Yes, because the model has to generate more tokens (the reasoning steps) before it outputs the final answer.
Yes, by instructing the model to write reasoning in a specific block, and stripping it out in backend.
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