From spot fixes to measured gains: improving document extraction accuracy with ai_extract and MLflow Prompt Registry
Summary
Improve ai_extract accuracy by matching the fix to the problem: schema descriptions for field-level rules, prompts for document-level logic, precision mode for structural complexity, and citations to diagnose errors. Version prompts and schemas in MLflow Prompt Registry, deploy or roll back via aliases, and compare candidates against human-reviewed ground truth before promotion, with Genie Code automating much of this eval-and-fix loop.
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