LEARNER · GLOBAL
Why LLM evals don't predict real-world BFSI performance: the benchmark gap explained
Standard LLM benchmarks (MMLU, HellaSwag) test memorization and pattern-matching, not the reasoning required for financial risk modeling, compliance interpretation, or trade execution. A model scoring 95% on academic evals may fail at your bank's actual use cases.
WHY IT MATTERS
Banks investing in LLM pilots often rely on public benchmark scores to justify spend. Custom domain-specific eval frameworks (risk scenario simulation, regulatory text parsing, P&L impact) are non-negotiable before production deployment.