GIGO
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
90 topics found for
“accuracy improvement”
Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
Negative Prompt
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
Response Bias
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design.
Illusion of Validity
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information.
Repeated Measures Design
A research design where the same participants are used in all conditions of an experiment, allowing for the comparison of different conditions within the same group.
Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Social Desirability Bias
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research.
Color Space
A specific organization of colors, which helps in the representation of color in both physical and digital forms.