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EdgeGen is a synthetic task generation framework that extracts compliance rules from an agent's specification and uses them to generate database-grounded edge-case tasks designed to violate these rules, and when combined with existing synthetic data generation techniques, enables agent improvement through finetuning and harness optimization.
Stop evaluating agents in a vacuum: TED reveals how user expertise impacts agent performance and pinpoints actionable error remedies, boosting performance by 8-10%.
Forget OCR? Powerful MLLMs can extract information from business documents just as well from images alone, challenging the necessity of traditional OCR pipelines.
