The FDA’s framework for AI regulation, while robust for premarket evaluation, would benefit from more specific mechanisms for continuous monitoring of AI performance in diverse real-world settings.
It offers a wide range of features, including project management, dataset management, evaluation management, trace management, prompt management, synthetic data generation, and guardrail management.
providing an average description of product performance. To capture individual characteristics for personalized maintenance, a dynamic reliability evaluation framework is proposed based on the ...
There is no shortage of work opportunities in monitoring, evaluation, and learning ... and aligns with the overall organizational framework and strategy, Zingani noted. "Always remember that ...
Apurva Reddy Kistampally, a prominent figure in ML research, introduces a comprehensive framework for real-time monitoring and performance management. This framework not only ensures model reliability ...
Digitize your offline data collection. Create your Forms online with Tangerine Editor, conduct them offline with the Tangerine Android App. All results you collect can be exported as a CSV file, easy ...
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