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Chain-of-Thought and Reasoning
Chain-of-Thought and Reasoning
3 questions
Difficulty 4-6
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Chain-of-thought (CoT) prompting asks the model to show its reasoning before the answer, e.g., "Let's think step by step." Why does this often improve accuracy on multi-step problems?
Hide and think first
A.
CoT changes the underlying model weights, causing it to reason more carefully about all subsequent queries
B.
Generating intermediate reasoning steps gives the model more tokens to refine its latent computation and decomposes hard problems into easier sub-steps
C.
CoT eliminates hallucinations because the intermediate steps must be factually verified before the final answer
D.
CoT always reduces inference cost because it lets the model skip unnecessary computation
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