This topic focuses on fine‑tuning the Granite foundation model using the InstructLab methodology to support Dodd‑Frank Act compliance. The approach involves aligning the model with regulatory language, financial rules, and compliance workflows through curated instructions and domain‑specific data. By leveraging InstructLab, organizations can iteratively teach the model to understand regulatory intent, generate accurate responses, and assist with risk, reporting, and compliance use cases. The result is a more reliable, explainable AI system that helps financial institutions interpret Dodd‑Frank requirements, automate analysis, and improve regulatory decision‑making while maintaining governance and accuracy.

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