Foundation models and generative AI have moved from research
prototypes to production systems in finance.
Yet the evidence behind these systems is fragile. Reported
forecasting gains often fade under careful evaluation, and common
practice remains exposed to look-ahead, survivorship and cost
biases.
FinFM brings AI researchers, finance academics, practitioners and
regulators together to establish how foundation models and
generative AI for finance should be built, evaluated and validated.
Evidence before claims
Leakage-free benchmarks and reproducible, cost-aware evaluation.
Research meets practice
Open discussion across academia, industry, and financial
institutions.
Resources for the community
A planned evaluation checklist and curated benchmark resources.