TRiSM
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
71 topics found for
“system reliability”
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Reflexion
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
Anomaly Detection
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior.
Poka-Yoke Principle
A Japanese term for "mistake-proofing," referring to any mechanism or process that helps prevent errors by design.
Black Box Testing
A testing method where the internal structure of the system is not known to the tester, focusing solely on input and output.
SOAP
Simple Object Access Protoco (SOAPl) is a protocol for exchanging structured information in web services.
Shift-Right Testing
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions.
RAG
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.