Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Patronus AI, founded in 2023, builds evaluation infrastructure for large language models, including the open Lynx hallucination-detection model, the FinanceBench benchmark of 10,000 question-answer pairs for financial-document Q&A, and GLIDER, an evaluation model that produces explainable reasoning chains for guardrail use cases. The company has since expanded into simulated digital environments for training and evaluating AI agents.
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