Hallucination
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
A bias that occurs when researchers' expectations influence the outcome of a study.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected.
A type of bias that occurs when the observer's expectations or beliefs influence their interpretation of what they are observing, including experimental outcomes.
The hardware and software environment used to deploy and manage applications and services.
A performance testing method that evaluates the system's behavior and stability over an extended period under a high load.
The process of identifying, assessing, and mitigating potential threats that could impact the success of a digital product, including usability issues, technical failures, and user data security.
A type of software testing that ensures that recent changes have not adversely affected existing features.