Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data.
An inference method used in AI and expert systems where reasoning starts from known facts and applies rules to derive new facts.
Data that is organized in a predefined manner, making it easier for search engines to understand and display rich snippets in search results.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider.
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology.