FinanceGPT/Research
FINANCIAL AI RESEARCH

Research the architecture behind FinanceGPT.

Category-defining notes on deterministic finance, Large Quantitative Models, Quantitative Language Models, evidence-grounded financial AI and governance.

Research

What Is a Large Quantitative Model (LQM)?

A FinanceGPT definition of Large Quantitative Models: quantitative systems for financial calculation, forecasting, risk, simulation, optimization and governed evidence.

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Research

LQM vs. LLM in Finance

Understand the difference between Large Quantitative Models and Large Language Models in financial analysis and why FinanceGPT keeps the layers separate.

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Research

What Is a Quantitative Language Model (QLM)?

FinanceGPT QLMs combine language inference, quantitative models, evidence, tools and governance for financial work.

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Research

Evidence-Grounded Generative AI for Finance

How evidence lineage, citations, quantitative models and governance make generative AI more useful for professional financial work.

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Research

Deterministic vs. Generative Financial Analysis

Learn when finance teams should use deterministic calculations, generative AI, or both together.

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Research

AI Model Governance for Finance Teams

A practical framework for routing, evidence, evaluation, human review and execution boundaries in financial AI.

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