POLA
Principle of Least Astonishment (POLA) is a design guideline stating that interfaces should behave in a way that users expect to avoid confusion.
172 topics found for
“system behavior”
Reflexion
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Multiple Classification
A method of categorizing information in more than one way to enhance findability and user experience.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
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.
Wayfinding
The process of designing intuitive navigation systems within a digital product that help users easily understand their current location, navigate to desired destinations, and efficiently complete tasks.
MQL
Marketing Qualified Lead (MQL) is a prospective customer who has shown interest in a company's product or service and meets specific criteria indicating a higher likelihood of becoming a customer.
Surrogation
The process by which a measure or metric comes to replace the underlying objective it is intended to represent, leading to distorted decision-making.