A prompt engineer at the Network Theory Applied Research Institute used Anthropic's Claude research engine to train an LLM for FINRA guidance. The prompt expressed the need to guide consumers and advisors with greater context on the mechanics of the financial system, and equip offices for compliance with regulatory actions.
Could this be the most comprehensive securities compliance AI training dataset ever assembled? A complete, production-ready knowledge base covering the entire U.S. securities regulatory structure including federal agencies (SEC), self-regulatory organizations (FINRA, MSRB, NFA), state regulators, and product-specific compliance requirements across all major financial instruments. What is its value? We're giving it away to compliant license holders for FREE.
View the open-source repository by permission only to licensed FINRA advisors.
https://github.com/NetworkTheoryAppliedResearchInstitute/IA-Bot
NOTE: This opportunity is for FINRA registered advisors only.
Your information will be verified through https://brokercheck.finra.org/. Afterword, you will be granted access to the repository in Github through the email associated with this exchange.