Repo · Benchmarks & research
jev-typesafe-real-financial-use-cases
Fifty real-world financial use cases for TypeSafe's Jev model: typed, structured LLM answers over ledgers, fraud, portfolios, trades and filings,…
Open github.com ↗From the repository
Fifty real-world financial use cases for TypeSafe's Jev model: typed, structured LLM answers over ledgers, fraud, portfolios, trades and filings, each graded against data where the right answer is known.
ai-agentsbacktestingfinancial-datafintechjavascriptjevllmllm-evaluationreactstructured-outputtypesafeuse-cases
How builders describe it
Fifty real-world financial use cases for TypeSafe's Jev model: typed, structured LLM answers over ledgers, fraud, portfolios, trades and filings, each graded against data where the right answer is known.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →