Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Artificially generated data that mimics real data, used for training machine learning models.
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation.
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.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
The study of strategic decision making, incorporating psychological insights into traditional game theory models.