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Develop Structured Information Extraction Logic
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Multilingual Policy Analyzer via Fine-Tuned TranslateGemma
Format
Text-first
Lines
1
Sections
1
Linked challenge
Multilingual Policy Analyzer via Fine-Tuned TranslateGemma
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Develop the logic for extracting structured information (e.g., investment amounts, partner countries, deadlines) from the translated English policy texts. Utilize regular expressions, pattern matching, or a small fine-tuned model (managed via AutoML/MLflow) to extract these specific entities reliably. Store extracted insights in your PostgreSQL database.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.