A user wants to automate the extraction of key performance metrics from 50 similarly formatted engineering datasheets. A Zero-Shot prompt extracts the correct data but in an inconsistent, unstructured paragraph. What is the most effective and efficient next step?

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Apply the Self-Consistency method by running the Zero-Shot prompt three times for each datasheet and hoping for a consensus.

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Use a Chain-of-Thought prompt to force the model to explain its reasoning for the poor formatting.

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Escalate to a Few-Shot prompt, providing 2-3 examples of a raw text snippet and the desired structured output (e.g., CSV or JSON).

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Manually correct the 50 outputs and use them to fine-tune a new model.

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A user wants to automate the extraction of key performance metrics from 50 simil...

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