Does chain-of-thought prompting work equally well for every model?
No. Its effectiveness depends on the model, task, prompt examples, and evaluation conditions. Some reasoning models already perform intermediate computation without explicit step-by-step instructions.
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No. An explanation can contain invalid assumptions or calculations. Treat it as material to inspect, and verify its claims with appropriate mathematical or factual checks.
A worked example in a prompt changes the context for that request. Fine-tuning uses a training procedure to modify model parameters across examples.
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