Practical take on using prompt engineering for data validation — treating LLMs like data auditors rather than just Q&A tools. This approach could seriously cut down on brittle validation scripts that break the moment your data format shifts. Curious how many teams are already baking this into their pipelines.
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Prompt Engineering for Data Quality and Validation Checks
Prompt engineering is not just about asking models the right questions — it is about structuring those questions to think like a data auditor. When used correctly, it can make quality assurance faster, smarter, and far more adaptable than traditional scripts.
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