From spot fixes to measured gains: improving document extraction accuracy with ai_extract and MLflow Prompt Registry
Databricks integrates MLflow Prompt Registry with ai_extract to systematically improve document extraction accuracy
Databricks describes a methodology for moving beyond ad-hoc prompt tweaking to a structured, measurable approach to document extraction using ai_extract and MLflow Prompt Registry. The approach treats prompt iteration as an engineering discipline with versioning and evaluation metrics. Relevant for teams building LLM-powered document processing pipelines on Databricks, but not a major industry-level announcement.