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Initial Pipeline Design with DSPy Modules
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Linked challenge: AI-Driven Financial Risk & Credit Scoring
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Linked challenge
AI-Driven Financial Risk & Credit Scoring
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Original prompt text with formatting preserved for inspection.
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Outline a multi-stage DSPy pipeline for financial risk assessment. Define at least three DSPy modules (e.g., `FinancialDataExtractor`, `RatioCalculator`, `RiskPredictor`). Explain how each module leverages Gemini 2.5 Pro and how you'll use DSPy to optimize their performance and accuracy. Consider an adaptive thinking budget strategy.
Adaptation plan
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Keep stable
Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.
Tune next
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Verify after
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.