Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A bias that occurs when researchers' expectations influence the outcome of a study.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.
An environment used for testing software to identify issues and ensure quality before production deployment.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
A type of bias that occurs when the observer's expectations or beliefs influence their interpretation of what they are observing, including experimental outcomes.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected.
A Japanese word meaning inconsistency or variability in processes.