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